{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:17:03Z","timestamp":1743056223782,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811978661"},{"type":"electronic","value":"9789811978678"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-19-7867-8_6","type":"book-chapter","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T12:02:18Z","timestamp":1683288138000},"page":"65-77","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Context Unaware Knowledge Distillation for\u00a0Image Retrieval"],"prefix":"10.1007","author":[{"given":"Bytasandram Yaswanth","family":"Reddy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiv Ram","family":"Dubey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakesh Kumar","family":"Sanodiya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravi Ranjan Prasad","family":"Karn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,6]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Lew, M.S. , Sebe, N., Djeraba, C., Jain, R.: Content-based multimedia information retrieval: state of the art and challenges. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM) 2(1), pp. 1\u201319 (2006)","DOI":"10.1145\/1126004.1126005"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Dubey, S.R., Singh, S.K., Chu, W.T.: Vision transformer hashing for image retrieval. IEEE International Conference on Multimedia and Expo (2022)","DOI":"10.1109\/ICME52920.2022.9859900"},{"key":"6_CR3","unstructured":"Singh, S.R., Yedla, R.R., Dubey, S.R., Sanodiya, R., Chu, W.T.: Frequency disentangled residual network. arXiv preprint arXiv:2109.12556 (2021)"},{"key":"6_CR4","unstructured":"Cheng, Y., Wang, D., Zhou, P., Zhang, T.: A survey of model compression and acceleration for deep neural networks. arXiv preprint arXiv:1710.09282 (2017)"},{"key":"6_CR5","unstructured":"Hinton, G., Vinyals, O., Dean J.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)"},{"key":"6_CR6","unstructured":"Ba, L.J., Caruana, R.: Do deep nets really need to be deep?\u201d CoRR, Vol. abs\/1312.6184 (2013). [Online]. Available: http:\/\/arxiv.org\/abs\/1312.6184"},{"key":"6_CR7","unstructured":"Gou, J., Yu, B., Maybank, S.J., Tao, D.: Knowledge distillation: A survey, CoRR, Vol. abs\/2006.05525 (2020). [Online]. Available: https:\/\/arxiv.org\/abs\/2006.05525"},{"key":"6_CR8","unstructured":"Romero, A., Ballas, N., Kahou, S.E., Chassang, A., Gatta, C., Bengio, Y.: Fitnets: Hints for thin deep nets, arXiv preprint arXiv:1412.6550 (2014)"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Yim, J., Joo, D., Bae, J., Kim, J.: A gift from knowledge distillation: fast optimization, network minimization and transfer learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4133\u20134141 (2017)","DOI":"10.1109\/CVPR.2017.754"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Cao, Y., Long, M., Liu, B., Wang, J.: Deep cauchy hashing for hamming space retrieval. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1229\u20131237 (2018)","DOI":"10.1109\/CVPR.2018.00134"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Yuan, L., Wang, T., Zhang, X., Tay, F.E., Jie, Z., Liu, W., Feng, J.: Central similarity quantization for efficient image and video retrieval. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3083\u20133092 (2020)","DOI":"10.1109\/CVPR42600.2020.00315"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Zhu, H., Long, M., Wang, J., Cao, Y.: Deep hashing network for efficient similarity retrieval. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 30 (2016)","DOI":"10.1609\/aaai.v30i1.10235"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Cao, Y., Long, M., Wang, J., Zhu, H., Wen, Q.: Deep quantization network for efficient image retrieval. In: AAAI (2016)","DOI":"10.1609\/aaai.v30i1.10455"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Liu, B., Cao, Y., Long, M., Wang, J., Wang, J.: Deep triplet quantization. In: Proceedings of the 26th ACM international conference on Multimedia, pp. 755\u2013763 (2018)","DOI":"10.1145\/3240508.3240516"},{"issue":"2","key":"6_CR15","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1109\/TCSVT.2020.2991171","volume":"31","author":"H Zhai","year":"2020","unstructured":"Zhai, H., Lai, S., Jin, H., Qian, X., Mei, T.: Deep transfer hashing for image retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(2), 742\u2013753 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Cao, Z., Long, M., Wang, J., Yu, P.S.: Hashnet: deep learning to hash by continuation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5608\u20135617 (2017)","DOI":"10.1109\/ICCV.2017.598"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Dubey, S. R.: A decade survey of content based image retrieval using deep learning. IEEE Trans. Circuits Syst. Video Technol. (2021)","DOI":"10.1109\/TCSVT.2021.3080920"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"6_CR19","first-page":"1097","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25, 1097\u20131105 (2012)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Chua, T.-S., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y.: Nus-wide: a real-world web image database from national university of Singapore. In Proceedings of the ACM International Conference on Image and Video Retrieval, pp. 1\u20139 (2009)","DOI":"10.1145\/1646396.1646452"},{"key":"6_CR21","unstructured":"Krizhevsky, A.: Learning multiple layers of features from tiny images, pp. 32-33 (2009). [Online]. Available: https:\/\/www.cs.toronto.edu\/kriz\/learning-features-2009-TR.pdf"},{"key":"6_CR22","doi-asserted-by":"publisher","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.-J.: Kai Li and Li Fei-Fei, \u201cImageNet: A large-scale hierarchical image database.\u201d IEEE Conf. Comput. Vis. Pattern Recognit. 2009, 248\u2013255 (2009). https:\/\/doi.org\/10.1109\/CVPR.2009.5206848","DOI":"10.1109\/CVPR.2009.5206848"}],"container-title":["Lecture Notes in Networks and Systems","Computer Vision and Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-7867-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T12:04:23Z","timestamp":1683288263000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-7867-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789811978661","9789811978678"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-7867-8_6","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"6 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}