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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 2019Show all

2 papers · 1 filter

cs.CV2019★ 14 cited

Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation

Weifeng Ge, Sheng Guo, Weilin Huang +1

Weakly-supervised instance segmentation aims to detect and segment object instances precisely, given imagelevel labels only. Unlike previous methods which are composed of multiple…

cs.CV2019★ 12 cited

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up

Weifeng Ge, Xiangru Lin, Yizhou Yu

Given a training dataset composed of images and corresponding category labels, deep convolutional neural networks show a strong ability in mining discriminative parts for image cla…