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CASTing Your Model: Learning To Localize Improves Self-Supervised Representations.

, , , and . CVPR, page 11058-11067. Computer Vision Foundation / IEEE, (2021)

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Can domain adaptation make object recognition work for everyone?, , , and . CVPR Workshops, page 3980-3987. IEEE, (2022)SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions., , , , , , and . CVPR, page 10000-10008. Computer Vision Foundation / IEEE, (2020)Diverse Beam Search for Improved Description of Complex Scenes., , , , , , and . AAAI, page 7371-7379. AAAI Press, (2018)CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 8433-8447. PMLR, (2023)Align before Fuse: Vision and Language Representation Learning with Momentum Distillation., , , , , and . NeurIPS, page 9694-9705. (2021)Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization., , , , , and . Int. J. Comput. Vis., 128 (2): 336-359 (2020)Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, , , , , and . (2016)cite arxiv:1610.02391Comment: This version was published in International Journal of Computer Vision (IJCV) in 2019; A previous version of the paper was published at International Conference on Computer Vision (ICCV'17).Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization., , , , , and . ICCV, page 618-626. IEEE Computer Society, (2017)CASTing Your Model: Learning to Localize Improves Self-Supervised Representations., , , and . CoRR, (2020)SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency., , , , and . NAACL-HLT, page 3103-3111. Association for Computational Linguistics, (2021)