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9 Results
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Workshop
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How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition? Emin Orhan |
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Workshop
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Contextual Visual Feature Learning for Zero-Shot Recognition of Human-Object Interactions Tsung-Wei Ke · Dong-Jin Kim · Stella Yu · Liang Gou · Liu Ren |
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Poster
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Wed 9:00 |
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen · Chongjian GE · Zhan Tong · Jiangliu Wang · Yibing Song · Jue Wang · Ping Luo |
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Poster
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Wed 14:00 |
Continual Learning with Evolving Class Ontologies Zhiqiu Lin · Deepak Pathak · Yu-Xiong Wang · Deva Ramanan · Shu Kong |
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Poster
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Tue 14:00 |
Grounded Video Situation Recognition Zeeshan Khan · C.V. Jawahar · Makarand Tapaswi |
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Poster
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Thu 9:00 |
Subsidiary Prototype Alignment for Universal Domain Adaptation Jogendra Nath Kundu · Suvaansh Bhambri · Akshay R Kulkarni · Hiran Sarkar · Varun Jampani · Venkatesh Babu R |
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Poster
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ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong · Shouwei Ruan · Hang Su · Caixin Kang · Xingxing Wei · Jun Zhu |
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Poster
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Wed 14:00 |
u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality Wei-Ning Hsu · Bowen Shi |
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Poster
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Tue 9:00 |
Revisiting Sparse Convolutional Model for Visual Recognition xili dai · Mingyang Li · Pengyuan Zhai · Shengbang Tong · Xingjian Gao · Shao-Lun Huang · Zhihui Zhu · Chong You · Yi Ma |