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03/03/2022
Correlation-Aware Deep Tracking
Robustness and discrimination power are two fundamental requirements in ...
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01/26/2022
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
Attention mechanism has been widely believed as the key to success of vi...
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12/05/2021
Learning Tracking Representations via Dual-Branch Fully Transformer Networks
We present a Siamese-like Dual-branch network based on solely Transforme...
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09/12/2021
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
Transformers have sprung up in the field of computer vision. In this wor...
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08/30/2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Convolutional neural networks (CNN) are the dominant deep neural network...
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08/18/2021
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Advanced self-supervised visual representation learning methods rely on ...
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05/06/2021
Unsupervised Visual Representation Learning by Tracking Patches in Video
Inspired by the fact that human eyes continue to develop tracking abilit...
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04/02/2020
Tracking by Instance Detection: A Meta-Learning Approach
We consider the tracking problem as a special type of object detection p...
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04/09/2019