{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:29Z","timestamp":1750220849061,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,3]],"date-time":"2019-11-03T00:00:00Z","timestamp":1572739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,3]]},"DOI":"10.1145\/3357384.3358110","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"2265-2268","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["On Novel Object Recognition"],"prefix":"10.1145","author":[{"given":"Kai","family":"Li","sequence":"first","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin Renqiang","family":"Min","sequence":"additional","affiliation":[{"name":"NEC Labs America - Princeton, Princeton, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Bai","sequence":"additional","affiliation":[{"name":"NEC Labs America - Princeton, Princeton, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Fu","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans Peter","family":"Graf","sequence":"additional","affiliation":[{"name":"NEC Labs America - Princeton, Princeton, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Zeynep Akata Scott Reed Daniel Walter Honglak Lee and Bernt Schiele. 2015. Evaluation of output embeddings for fine-grained image classification. In CVPR .  Zeynep Akata Scott Reed Daniel Walter Honglak Lee and Bernt Schiele. 2015. Evaluation of output embeddings for fine-grained image classification. In CVPR .","DOI":"10.1109\/CVPR.2015.7298911"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Soravit Changpinyo Wei-Lun Chao Boqing Gong and Fei Sha. 2016. Synthesized classifiers for zero-shot learning. In CVPR .  Soravit Changpinyo Wei-Lun Chao Boqing Gong and Fei Sha. 2016. Synthesized classifiers for zero-shot learning. In CVPR .","DOI":"10.1109\/CVPR.2016.575"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Long Chen Hanwang Zhang Jun Xiao Wei Liu and Shih-Fu Chang. 2018. Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Network. In CVPR .  Long Chen Hanwang Zhang Jun Xiao Wei Liu and Shih-Fu Chang. 2018. Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Network. In CVPR .","DOI":"10.1109\/CVPR.2018.00115"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Ali Farhadi Ian Endres Derek Hoiem and David Forsyth. 2009. Describing objects by their attributes. In CVPR .  Ali Farhadi Ian Endres Derek Hoiem and David Forsyth. 2009. Describing objects by their attributes. In CVPR .","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"e_1_3_2_1_5_1","unstructured":"Chelsea Finn Pieter Abbeel and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. ICML .  Chelsea Finn Pieter Abbeel and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. ICML ."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Spyros Gidaris and Nikos Komodakis. 2018. Dynamic Few-Shot Visual Learning without Forgetting. In CVPR .  Spyros Gidaris and Nikos Komodakis. 2018. Dynamic Few-Shot Visual Learning without Forgetting. In CVPR .","DOI":"10.1109\/CVPR.2018.00459"},{"key":"e_1_3_2_1_7_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR .  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR ."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Elyor Kodirov Tao Xiang and Shaogang Gong. 2017. Semantic Autoencoder for Zero-Shot Learning. In CVPR .  Elyor Kodirov Tao Xiang and Shaogang Gong. 2017. Semantic Autoencoder for Zero-Shot Learning. In CVPR .","DOI":"10.1109\/CVPR.2017.473"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Kai Li Zhengming Ding Kunpeng Li Yulun Zhang and Yun Fu. 2018. Support neighbor loss for person re-identification. In ACM MM .  Kai Li Zhengming Ding Kunpeng Li Yulun Zhang and Yun Fu. 2018. Support neighbor loss for person re-identification. In ACM MM .","DOI":"10.1145\/3240508.3240674"},{"volume-title":"Martin Renqiang Min, and Yun Fu","year":"2019","author":"Li Kai","key":"e_1_3_2_1_11_1"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Genevieve Patterson and James Hays. 2012. Sun attribute database: Discovering annotating and recognizing scene attributes. In CVPR .  Genevieve Patterson and James Hays. 2012. Sun attribute database: Discovering annotating and recognizing scene attributes. In CVPR .","DOI":"10.1109\/CVPR.2012.6247998"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Siyuan Qiao Chenxi Liu Wei Shen and Alan L Yuille. 2018. Few-shot image recognition by predicting parameters from activations. In CVPR .  Siyuan Qiao Chenxi Liu Wei Shen and Alan L Yuille. 2018. Few-shot image recognition by predicting parameters from activations. In CVPR .","DOI":"10.1109\/CVPR.2018.00755"},{"key":"e_1_3_2_1_14_1","unstructured":"Bernardino Romera-Paredes and Philip Torr. 2015. An embarrassingly simple approach to zero-shot learning. In ICML .  Bernardino Romera-Paredes and Philip Torr. 2015. An embarrassingly simple approach to zero-shot learning. In ICML ."},{"key":"e_1_3_2_1_15_1","unstructured":"Jake Snell Kevin Swersky and Richard Zemel. 2017. Prototypical networks for few-shot learning. In NIPS .  Jake Snell Kevin Swersky and Richard Zemel. 2017. Prototypical networks for few-shot learning. In NIPS ."},{"volume-title":"Philip HS Torr, and Timothy M Hospedales","year":"2018","author":"Sung Flood","key":"e_1_3_2_1_16_1"},{"key":"e_1_3_2_1_17_1","unstructured":"Eleni Triantafillou Richard Zemel and Raquel Urtasun. 2017. Few-shot learning through an information retrieval lens. In NIPS .  Eleni Triantafillou Richard Zemel and Raquel Urtasun. 2017. Few-shot learning through an information retrieval lens. In NIPS ."},{"volume-title":"et almbox","year":"2016","author":"Vinyals Oriol","key":"e_1_3_2_1_18_1"},{"key":"e_1_3_2_1_19_1","unstructured":"Catherine Wah Steve Branson Pietro Perona and Serge Belongie. 2011. Multiclass recognition and part localization with humans in the loop. In ICCV .  Catherine Wah Steve Branson Pietro Perona and Serge Belongie. 2011. Multiclass recognition and part localization with humans in the loop. In ICCV ."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Xiaolong Wang Yufei Ye and Abhinav Gupta. 2018. Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs. In CVPR .  Xiaolong Wang Yufei Ye and Abhinav Gupta. 2018. Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs. In CVPR .","DOI":"10.1109\/CVPR.2018.00717"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Yongqin Xian Zeynep Akata Gaurav Sharma Quynh Nguyen Matthias Hein and Bernt Schiele. 2016. Latent embeddings for zero-shot classification. In CVPR .  Yongqin Xian Zeynep Akata Gaurav Sharma Quynh Nguyen Matthias Hein and Bernt Schiele. 2016. Latent embeddings for zero-shot classification. In CVPR .","DOI":"10.1109\/CVPR.2016.15"},{"volume-title":"Zero-shot learning-A comprehensive evaluation of the good, the bad and the ugly","year":"2018","author":"Xian Yongqin","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Li Zhang Tao Xiang and Shaogang Gong. 2017. Learning a Deep Embedding Model for Zero-Shot Learning. In CVPR .  Li Zhang Tao Xiang and Shaogang Gong. 2017. Learning a Deep Embedding Model for Zero-Shot Learning. In CVPR .","DOI":"10.1109\/CVPR.2017.321"}],"event":{"name":"CIKM '19: The 28th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Beijing China","acronym":"CIKM '19"},"container-title":["Proceedings of the 28th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358110","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3357384.3358110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:10Z","timestamp":1750202590000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358110"}},"subtitle":["A Unified Framework for Discriminability and Adaptability"],"short-title":[],"issued":{"date-parts":[[2019,11,3]]},"references-count":23,"alternative-id":["10.1145\/3357384.3358110","10.1145\/3357384"],"URL":"https:\/\/doi.org\/10.1145\/3357384.3358110","relation":{},"subject":[],"published":{"date-parts":[[2019,11,3]]},"assertion":[{"value":"2019-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}