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cs.CV2022★ 1 cited
Motion Sensitive Contrastive Learning for Self-supervised Video Representation
Jingcheng Ni, Nan Zhou, Jie Qin +4
Contrastive learning has shown great potential in video representation learning. However, existing approaches fail to sufficiently exploit short-term motion dynamics, which are cru…
cs.CV2022★ 1 cited
Tracking Objects as Pixel-wise Distributions
Zelin Zhao, Ze Wu, Yueqing Zhuang +2
Multi-object tracking (MOT) requires detecting and associating objects through frames. Unlike tracking via detected bounding boxes or tracking objects as points, we propose trackin…