most citedHierarchical discriminative learning improves visual representations of biomedical microscopy

6 citations · 6 across the 2 of their papers we have counts for

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cs.CV2023★ 6 cited

Hierarchical discriminative learning improves visual representations of biomedical microscopy

Cheng Jiang, Xinhai Hou, Akhil Kondepudi +5

Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has…

cs.CV2023

MixFormer: End-to-End Tracking with Iterative Mixed Attention

Yutao Cui, Cheng Jiang, Gangshan Wu +1

Visual object tracking often employs a multi-stage pipeline of feature extraction, target information integration, and bounding box estimation. To simplify this pipeline and unify…