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Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification.

, , and . CoRR, (2016)

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Leveraging generative models to characterize the failure conditions of image classifiers., , and . AISafety@IJCAI, volume 3215 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Recognizing 3D Objects by Generating Random Actions.. CVPR, page 35-40. IEEE Computer Society, (1996)Flexible tracklet association for complex scenarios using a Markov Logic Network., and . ICCV Workshops, page 1870-1875. IEEE Computer Society, (2011)Pseudo-Labeling for Class Incremental Learning., , and . BMVC, page 332. BMVA Press, (2021)Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning., , , , and . CVPR Workshops, page 9-17. IEEE Computer Society, (2015)Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification., , and . CoRR, (2016)Exemplar based metric learning for robust visual localization., , , , and . ICIP, page 4342-4346. IEEE, (2015)Hard Negative Mining for Metric Learning Based Zero-Shot Classification., , and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 524-531. (2016)Semantic Bottleneck for Computer Vision Tasks., , and . ACCV (2), volume 11362 of Lecture Notes in Computer Science, page 695-712. Springer, (2018)Combining Geometric and Probabilistic Structure for Active Recognition of 3D Objects.. ECCV (2), volume 1407 of Lecture Notes in Computer Science, page 748-764. Springer, (1998)