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Online tracking of multiple objects in videos requires strong capacity of modeling and matching object appearances.
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Video person re-identification with competitive snippet-similarity aggregation and co-attentive snippet embedding
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The ava-kinetics localized human actions video dataset
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Joint object detection and multi-object tracking with graph neural networks
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Spatial-temporal graph convolutional network for video-based person re-identification
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Fairmot: On the fairness of detection and re-identification in multiple object tracking
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Meva: A large-scale multiview, multimodal video dataset for activity detection
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