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20172024
most citedMulti-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

27 citations · 106 across the 16 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 1 cited

Multi-scale Matching Networks for Semantic Correspondence

Dongyang Zhao, Ziyang Song, Zhenghao Ji +3

Deep features have been proven powerful in building accurate dense semantic correspondences in various previous works. However, the multi-scale and pyramidal hierarchy of convoluti…

cs.CV2021★ 1 cited

GraphFPN: Graph Feature Pyramid Network for Object Detection

Gangming Zhao, Weifeng Ge, Yizhou Yu

Feature pyramids have been proven powerful in image understanding tasks that require multi-scale features. State-of-the-art methods for multi-scale feature learning focus on perfor…