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Siamese DETR
Recent self-supervised methods are mainly designed for representation learning with the base model, eg, ResNets or ViTs. They cannot be …
Zeren Chen, Gengshi Huang, Wei Li, Jianing Teng, Kun Wang, Jing Shao, Chen Change Loy, Lu Sheng
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ST-Adapter: Parameter-efficient Image-to-Video Transfer Learning
Capitalizing on large pre-trained models for various downstream tasks of interest have recently emerged with promising performance. Due …
Junting Pan, Ziyi Lin, Xiatian Zhu, Jing Shao, Hongsheng Li
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X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
In computer vision, pre-training models based on largescale supervised learning have been proven effective over the past few years. …
Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Wang Kun, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao
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X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Benchmarking Omni-Vision Representation through the Lens of Visual Realms
Though impressive performance has been achieved in specific visual realms (e.g. faces, dogs, and places), an omni-vision representation …
Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu
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Benchmarking Omni-Vision Representation through the Lens of Visual Realms
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao
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MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities
Events are fundamental building blocks of real-world happenings. In this paper, we present a large-scale, multi-modal event knowledge …
Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao
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MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
In this paper, we propose an effective yet efficient model PAIE for both sentence-level and document-level Event Argument Extraction …
Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao
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Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Recently, large-scale Contrastive Language-Image Pre-training (CLIP) has attracted unprecedented attention for its impressive zero-shot …
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan
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Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li
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ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
The rapid progress of photorealistic synthesis techniques have reached at a critical point where the boundary between real and …
Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu
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ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis