{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:05:14Z","timestamp":1740107114790,"version":"3.37.3"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100007957","name":"Chongqing Municipal Education Commission","doi-asserted-by":"publisher","award":["HZ2021008"],"award-info":[{"award-number":["HZ2021008"]}],"id":[{"id":"10.13039\/501100007957","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s00371-024-03469-1","type":"journal-article","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T20:26:03Z","timestamp":1717100763000},"page":"1673-1688","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Visionary: vision-aware enhancement with reminding scenes generated by captions via multimodal transformer for embodied referring expression"],"prefix":"10.1007","volume":"41","author":[{"given":"Zhengwu","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peixian","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinguang","family":"Sang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheqi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,30]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Stefanini, M., Cornia, M., Baraldi, L., Cascianelli, S., Fiameni, G., Cucchiara, R.: From show to tell: a survey on deep learning-based image captioning. IEEE Trans. Pattern Anal. Mach. Intell. 45(1), 539\u2013559 (2022)","key":"3469_CR1","DOI":"10.1109\/TPAMI.2022.3148210"},{"unstructured":"Li, J., Li, D., Savarese, S., Hoi, S.: Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models. arXiv preprint arXiv:2301.12597 (2023)","key":"3469_CR2"},{"issue":"3\u20134","key":"3469_CR3","doi-asserted-by":"publisher","first-page":"2072","DOI":"10.1002\/cav.2072","volume":"33","author":"J Dai","year":"2022","unstructured":"Dai, J., Zhang, X.: Automatic image caption generation using deep learning and multimodal attention. Comput. Animat. Virtual Worlds 33(3\u20134), 2072 (2022)","journal-title":"Comput. Animat. Virtual Worlds"},{"doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10684\u201310695 (2022)","key":"3469_CR4","DOI":"10.1109\/CVPR52688.2022.01042"},{"unstructured":"Nichol, A., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., Chen, M.: Glide: Towards photorealistic image generation and editing with text-guided diffusion models. arXiv preprint arXiv:2112.10741 (2021)","key":"3469_CR5"},{"key":"3469_CR6","first-page":"36479","volume":"35","author":"C Saharia","year":"2022","unstructured":"Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E.L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T.: Photorealistic text-to-image diffusion models with deep language understanding. Adv. Neural Inf. Process. Syst. 35, 36479\u201336494 (2022)","journal-title":"Adv. Neural Inf. Process. Syst."},{"unstructured":"Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125 1(2), 3 (2022)","key":"3469_CR7"},{"key":"3469_CR8","first-page":"295","volume":"30","author":"Y Feng","year":"2023","unstructured":"Feng, Y., Wang, X., Wong, K.K., Wang, S., Lu, Y., Zhu, M., Wang, B., Chen, W.: Promptmagician: Interactive prompt engineering for text-to-image creation. IEEE Trans. Vis. Comput Graph 30, 295\u2013305 (2023)","journal-title":"IEEE Trans. Vis. Comput Graph"},{"doi-asserted-by":"crossref","unstructured":"Qi, Y., Wu, Q., Anderson, P., Wang, X., Wang, W.Y., Shen, C., Hengel, A.v.d.: Reverie: Remote embodied visual referring expression in real indoor environments. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9982\u20139991 (2020)","key":"3469_CR9","DOI":"10.1109\/CVPR42600.2020.01000"},{"doi-asserted-by":"crossref","unstructured":"Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., S\u00fcnderhauf, N., Reid, I., Gould, S., Van Den\u00a0Hengel, A.: Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3674\u20133683 (2018)","key":"3469_CR10","DOI":"10.1109\/CVPR.2018.00387"},{"doi-asserted-by":"crossref","unstructured":"Jain, V., Magalhaes, G., Ku, A., Vaswani, A., Ie, E., Baldridge, J.: Stay on the path: instruction fidelity in vision-and-language navigation. arXiv preprint arXiv:1905.12255 (2019)","key":"3469_CR11","DOI":"10.18653\/v1\/P19-1181"},{"doi-asserted-by":"crossref","unstructured":"Ku, A., Anderson, P., Patel, R., Ie, E., Baldridge, J.: Room-across-room: multilingual vision-and-language navigation with dense spatiotemporal grounding. arXiv preprint arXiv:2010.07954 (2020)","key":"3469_CR12","DOI":"10.18653\/v1\/2020.emnlp-main.356"},{"doi-asserted-by":"crossref","unstructured":"Chang, A., Dai, A., Funkhouser, T., Halber, M., Niessner, M., Savva, M., Song, S., Zeng, A., Zhang, Y.: Matterport3d: Learning from rgb-d data in indoor environments. arXiv preprint arXiv:1709.06158 (2017)","key":"3469_CR13","DOI":"10.1109\/3DV.2017.00081"},{"unstructured":"Kolve, E., Mottaghi, R., Han, W., VanderBilt, E., Weihs, L., Herrasti, A., Deitke, M., Ehsani, K., Gordon, D., Zhu, Y., et al.: Ai2-thor: An interactive 3d environment for visual ai. arXiv preprint arXiv:1712.05474 (2017)","key":"3469_CR14"},{"doi-asserted-by":"crossref","unstructured":"Xia, F., Zamir, A.R., He, Z., Sax, A., Malik, J., Savarese, S.: Gibson env: Real-world perception for embodied agents. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9068\u20139079 (2018)","key":"3469_CR15","DOI":"10.1109\/CVPR.2018.00945"},{"doi-asserted-by":"crossref","unstructured":"Savva, M., Kadian, A., Maksymets, O., Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J.: Habitat: a platform for embodied Ai research. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9339\u20139347 (2019)","key":"3469_CR16","DOI":"10.1109\/ICCV.2019.00943"},{"unstructured":"Li, J., Bansal, M.: Panogen: Text-conditioned panoramic environment generation for vision-and-language navigation. arXiv preprint arXiv:2305.19195 (2023)","key":"3469_CR17"},{"issue":"3\u20134","key":"3469_CR18","doi-asserted-by":"publisher","first-page":"2155","DOI":"10.1002\/cav.2155","volume":"34","author":"R Wei","year":"2023","unstructured":"Wei, R., Wang, P.: Setgan: Semantic-text guided face image generation. Comput. Animat. Virtual Worlds 34(3\u20134), 2155 (2023)","journal-title":"Comput. Animat. Virtual Worlds"},{"key":"3469_CR19","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/s11263-016-0981-7","volume":"123","author":"R Krishna","year":"2017","unstructured":"Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.-J., Shamma, D.A.: Visual genome: Connecting language and vision using crowdsourced dense image annotations. Int. J. Comput. Vis. 123, 32\u201373 (2017)","journal-title":"Int. J. Comput. Vis."},{"doi-asserted-by":"crossref","unstructured":"Gu, J., Stefani, E., Wu, Q., Thomason, J., Wang, X.E.: Vision-and-language navigation: A survey of tasks, methods, and future directions. arXiv preprint arXiv:2203.12667 (2022)","key":"3469_CR20","DOI":"10.18653\/v1\/2022.acl-long.524"},{"doi-asserted-by":"crossref","unstructured":"Zhu, F., Liang, X., Zhu, Y., Yu, Q., Chang, X., Liang, X.: Soon: Scenario oriented object navigation with graph-based exploration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12689\u201312699 (2021)","key":"3469_CR21","DOI":"10.1109\/CVPR46437.2021.01250"},{"doi-asserted-by":"crossref","unstructured":"Chen, H., Suhr, A., Misra, D., Snavely, N., Artzi, Y.: Touchdown: Natural language navigation and spatial reasoning in visual street environments. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12538\u201312547 (2019)","key":"3469_CR22","DOI":"10.1109\/CVPR.2019.01282"},{"unstructured":"Thomason, J., Murray, M., Cakmak, M., Zettlemoyer, L.: Vision-and-dialog navigation. In: Conference on Robot Learning, pp. 394\u2013406 (2020). PMLR","key":"3469_CR23"},{"doi-asserted-by":"crossref","unstructured":"Padmakumar, A., Thomason, J., Shrivastava, A., Lange, P., Narayan-Chen, A., Gella, S., Piramuthu, R., Tur, G., Hakkani-Tur, D.: Teach: Task-driven embodied agents that chat. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 2017\u20132025 (2022)","key":"3469_CR24","DOI":"10.1609\/aaai.v36i2.20097"},{"unstructured":"Fried, D., Hu, R., Cirik, V., Rohrbach, A., Andreas, J., Morency, L.-P., Berg-Kirkpatrick, T., Saenko, K., Klein, D., Darrell, T.: Speaker-follower models for vision-and-language navigation. Advances in Neural Information Processing Systems 31 (2018)","key":"3469_CR25"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., Huang, Q., Celikyilmaz, A., Gao, J., Shen, D., Wang, Y.-F., Wang, W.Y., Zhang, L.: Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6629\u20136638 (2019)","key":"3469_CR26","DOI":"10.1109\/CVPR.2019.00679"},{"doi-asserted-by":"crossref","unstructured":"Zhu, F., Zhu, Y., Chang, X., Liang, X.: Vision-language navigation with self-supervised auxiliary reasoning tasks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10012\u201310022 (2020)","key":"3469_CR27","DOI":"10.1109\/CVPR42600.2020.01003"},{"unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Advances in Neural Information Processing Systems 30 (2017)","key":"3469_CR28"},{"key":"3469_CR29","volume-title":"Eapt: efficient attention pyramid transformer for image processing","author":"X Lin","year":"2021","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: Eapt: efficient attention pyramid transformer for image processing. IEEE Trans, Multimed (2021)"},{"unstructured":"Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., : Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)","key":"3469_CR30"},{"key":"3469_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127063","volume":"568","author":"J Su","year":"2024","unstructured":"Su, J., Ahmed, M., Lu, Y., Pan, S., Bo, W., Liu, Y.: Roformer: Enhanced transformer with rotary position embedding. Neurocomputing 568, 127063 (2024)","journal-title":"Neurocomputing"},{"doi-asserted-by":"crossref","unstructured":"Guhur, P.-L., Tapaswi, M., Chen, S., Laptev, I., Schmid, C.: Airbert: In-domain pretraining for vision-and-language navigation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1634\u20131643 (2021)","key":"3469_CR32","DOI":"10.1109\/ICCV48922.2021.00166"},{"doi-asserted-by":"crossref","unstructured":"Gao, C., Chen, J., Liu, S., Wang, L., Zhang, Q., Wu, Q.: Room-and-object aware knowledge reasoning for remote embodied referring expression. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3064\u20133073 (2021)","key":"3469_CR33","DOI":"10.1109\/CVPR46437.2021.00308"},{"key":"3469_CR34","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1109\/TPAMI.2023.3326851","volume":"46","author":"C Gao","year":"2023","unstructured":"Gao, C., Liu, S., Chen, J., Wang, L., Wu, Q., Li, B., Tian, Q.: Room-object entity prompting and reasoning for embodied referring expression. IEEE Trans. Pattern Anal. Mach. Intell. 46, 994\u20131010 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Lin, X., Li, G., Yu, Y.: Scene-intuitive agent for remote embodied visual grounding. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7036\u20137045 (2021)","key":"3469_CR35","DOI":"10.1109\/CVPR46437.2021.00696"},{"doi-asserted-by":"crossref","unstructured":"Hong, Y., Wu, Q., Qi, Y., Rodriguez-Opazo, C., Gould, S.: A recurrent vision-and-language bert for navigation. arXiv preprint arXiv:2011.13922 (2020)","key":"3469_CR36","DOI":"10.1109\/CVPR46437.2021.00169"},{"key":"3469_CR37","first-page":"5834","volume":"34","author":"S Chen","year":"2021","unstructured":"Chen, S., Guhur, P.-L., Schmid, C., Laptev, I.: History aware multimodal transformer for vision-and-language navigation. Adv. Neural Inf. Process. Syst. 34, 5834\u20135847 (2021)","journal-title":"Adv. Neural Inf. Process. Syst."},{"doi-asserted-by":"crossref","unstructured":"Chen, S., Guhur, P.-L., Tapaswi, M., Schmid, C., Laptev, I.: Think global, act local: Dual-scale graph transformer for vision-and-language navigation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16537\u201316547 (2022)","key":"3469_CR38","DOI":"10.1109\/CVPR52688.2022.01604"},{"doi-asserted-by":"crossref","unstructured":"Li, X., Wang, Z., Yang, J., Wang, Y., Jiang, S.: Kerm: Knowledge enhanced reasoning for vision-and-language navigation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2583\u20132592 (2023)","key":"3469_CR39","DOI":"10.1109\/CVPR52729.2023.00254"},{"doi-asserted-by":"crossref","unstructured":"Li, M., Wang, Z., Tuytelaars, T., Moens, M.-F.: Layout-aware dreamer for embodied visual referring expression grounding. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 1386\u20131395 (2023)","key":"3469_CR40","DOI":"10.1609\/aaai.v37i1.25223"},{"unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)","key":"3469_CR41"},{"doi-asserted-by":"crossref","unstructured":"Tan, H., Bansal, M.: Lxmert: Learning cross-modality encoder representations from transformers. arXiv preprint arXiv:1908.07490 (2019)","key":"3469_CR42","DOI":"10.18653\/v1\/D19-1514"},{"doi-asserted-by":"crossref","unstructured":"Huang, H., Jain, V., Mehta, H., Ku, A., Magalhaes, G., Baldridge, J., Ie, E.: Transferable representation learning in vision-and-language navigation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7404\u20137413 (2019)","key":"3469_CR43","DOI":"10.1109\/ICCV.2019.00750"},{"doi-asserted-by":"crossref","unstructured":"Fu, T.-J., Wang, X.E., Peterson, M.F., Grafton, S.T., Eckstein, M.P., Wang, W.Y.: Counterfactual vision-and-language navigation via adversarial path sampler. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part VI, Springer, 16, pp. 71\u201386 (2020)","key":"3469_CR44","DOI":"10.1007\/978-3-030-58539-6_5"},{"doi-asserted-by":"crossref","unstructured":"Zhao, M., Anderson, P., Jain, V., Wang, S., Ku, A., Baldridge, J., Ie, E.: On the evaluation of vision-and-language navigation instructions. arXiv preprint arXiv:2101.10504 (2021)","key":"3469_CR45","DOI":"10.18653\/v1\/2021.eacl-main.111"},{"doi-asserted-by":"crossref","unstructured":"Tan, H., Yu, L., Bansal, M.: Learning to navigate unseen environments: Back translation with environmental dropout. arXiv preprint arXiv:1904.04195 (2019)","key":"3469_CR46","DOI":"10.18653\/v1\/N19-1268"},{"doi-asserted-by":"crossref","unstructured":"Liu, C., Zhu, F., Chang, X., Liang, X., Ge, Z., Shen, Y.-D.: Vision-language navigation with random environmental mixup. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1644\u20131654 (2021)","key":"3469_CR47","DOI":"10.1109\/ICCV48922.2021.00167"},{"doi-asserted-by":"crossref","unstructured":"Li, J., Tan, H., Bansal, M.: Envedit: environment editing for vision-and-language navigation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15407\u201315417 (2022)","key":"3469_CR48","DOI":"10.1109\/CVPR52688.2022.01497"},{"doi-asserted-by":"crossref","unstructured":"Chen, S., Guhur, P.-L., Tapaswi, M., Schmid, C., Laptev, I.: Learning from unlabeled 3d environments for vision-and-language navigation. In: European Conference on Computer Vision, pp. 638\u2013655. Springer (2022)","key":"3469_CR49","DOI":"10.1007\/978-3-031-19842-7_37"},{"doi-asserted-by":"crossref","unstructured":"Wang, Z., Li, J., Hong, Y., Wang, Y., Wu, Q., Bansal, M., Gould, S., Tan, H., Qiao, Y.: Scaling data generation in vision-and-language navigation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12009\u201312020 (2023)","key":"3469_CR50","DOI":"10.1109\/ICCV51070.2023.01103"},{"unstructured":"Ramakrishnan, S.K., Gokaslan, A., Wijmans, E., Maksymets, O., Clegg, A., Turner, J., Undersander, E., Galuba, W., Westbury, A., Chang, A.X., et al.: Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai. arXiv preprint arXiv:2109.08238 (2021)","key":"3469_CR51"},{"doi-asserted-by":"crossref","unstructured":"Chen, J., Wen, Y., Huang, J., Hu, X., Peng, T.: Foldgen: Multimodal transformer for garment sketch-to-photo generation. In: Computer Graphics International Conference, pp. 455\u2013466. Springer (2023)","key":"3469_CR52","DOI":"10.1007\/978-3-031-50072-5_36"},{"doi-asserted-by":"crossref","unstructured":"Li, H., Wang, N., Yang, X., Wang, X., Gao, X.: Towards semi-supervised deep facial expression recognition with an adaptive confidence margin. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4166\u20134175 (2022)","key":"3469_CR53","DOI":"10.1109\/CVPR52688.2022.00413"},{"doi-asserted-by":"crossref","unstructured":"Li, C., Xu, H., Tian, J., Wang, W., Yan, M., Bi, B., Ye, J., Chen, H., Xu, G., Cao, Z., et al.: mplug: Effective and efficient vision-language learning by cross-modal skip-connections. arXiv preprint arXiv:2205.12005 (2022)","key":"3469_CR54","DOI":"10.18653\/v1\/2022.emnlp-main.488"},{"doi-asserted-by":"crossref","unstructured":"Zareian, A., Karaman, S., Chang, S.-F.: Bridging knowledge graphs to generate scene graphs. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXIII 16, pp. 606\u2013623. Springer (2020)","key":"3469_CR55","DOI":"10.1007\/978-3-030-58592-1_36"},{"doi-asserted-by":"crossref","unstructured":"Qi, M., Wang, Y., Qin, J., Li, A.: Ke-gan: Knowledge embedded generative adversarial networks for semi-supervised scene parsing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5237\u20135246 (2019)","key":"3469_CR56","DOI":"10.1109\/CVPR.2019.00538"},{"doi-asserted-by":"crossref","unstructured":"Speer, R., Chin, J., Havasi, C.: Conceptnet 5.5: An open multilingual graph of general knowledge. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 31 (2017)","key":"3469_CR57","DOI":"10.1609\/aaai.v31i1.11164"},{"doi-asserted-by":"crossref","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: Dbpedia: A nucleus for a web of open data. In: International Semantic Web Conference, pp. 722\u2013735. Springer (2007)","key":"3469_CR58","DOI":"10.1007\/978-3-540-76298-0_52"},{"doi-asserted-by":"crossref","unstructured":"Koh, J.Y., Lee, H., Yang, Y., Baldridge, J., Anderson, P.: Pathdreamer: A world model for indoor navigation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14738\u201314748 (2021)","key":"3469_CR59","DOI":"10.1109\/ICCV48922.2021.01447"},{"key":"3469_CR60","doi-asserted-by":"publisher","first-page":"4637","DOI":"10.1109\/TIP.2022.3186536","volume":"31","author":"H Li","year":"2022","unstructured":"Li, H., Wang, N., Yang, X., Gao, X.: Crs-cont: a well-trained general encoder for facial expression analysis. IEEE Trans. Image Process. 31, 4637\u20134650 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"3469_CR61","first-page":"1877","volume":"33","author":"T Brown","year":"2020","unstructured":"Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A.: Language models are few-shot learners. Adv. Neural Inf. Process. Syst. 33, 1877\u20131901 (2020)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"3469_CR62","first-page":"22199","volume":"35","author":"T Kojima","year":"2022","unstructured":"Kojima, T., Gu, S.S., Reid, M., Matsuo, Y., Iwasawa, Y.: Large language models are zero-shot reasoners. Adv. Neural Inf. Process. Syst. 35, 22199\u201322213 (2022)","journal-title":"Adv. Neural Inf. Process. Syst."},{"unstructured":"Ross, S., Gordon, G., Bagnell, D.: A reduction of imitation learning and structured prediction to no-regret online learning. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp. 627\u2013635 (2011). JMLR Workshop and Conference Proceedings","key":"3469_CR63"},{"unstructured":"Anderson, P., Chang, A., Chaplot, D.S., Dosovitskiy, A., Gupta, S., Koltun, V., Kosecka, J., Malik, J., Mottaghi, R., Savva, M., et al.: On evaluation of embodied navigation agents. arXiv preprint arXiv:1807.06757 (2018)","key":"3469_CR64"},{"unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)","key":"3469_CR65"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03469-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-024-03469-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03469-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T14:55:37Z","timestamp":1739372137000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-024-03469-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,30]]},"references-count":65,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["3469"],"URL":"https:\/\/doi.org\/10.1007\/s00371-024-03469-1","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2024,5,30]]},"assertion":[{"value":"6 May 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared no potential conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}