Learning meta-adversarial features via multi-stage adaptation network for robust visual object tracking

By Si Chen, Libo Wang, Zhen Wang, Y. Yan, Da-han Wang, Shunzhi Zhu. 2022

9 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Global and Planetary Change

How researchers see this paper

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In Computer Vision and Pattern Recognition

1. Liu Liu
2. Dacheng Tao
3. Zhen Wang
4. Yajing Kong
5. Jiaxian Guo
6. Luc Van Gool
7. Ming-Hsuan Yang
8. Changxing Ding

Citations in the corpus

• Online Continual Learning with Contrastive Vision Transformer (2022, background): “Rehearsal-based methods [8,37,81,60,15,22,49,79,68,52] alleviate catastrophic forgetting by replaying a subset of data of past tasks stored in limited buffer. iCaRL [62] trains a nearest-class-mean classifier while limiting the change of the representation in later tasks through a self-distillation…”