activity
20132017
most citedPerceptual Generative Adversarial Networks for Small Object Detection

88 citations · 107 across the 5 of their papers we have counts for

collaborators

27 papers

cs.CV20203 cited

Referring Image Segmentation via Cross-Modal Progressive Comprehension

Shaofei Huang, Tianrui Hui, Si Liu +5

Referring image segmentation aims at segmenting the foreground masks of the entities that can well match the description given in the natural language expression. Previous approach…

eess.IV202018 cited

DONet: Dual Objective Networks for Skin Lesion Segmentation

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

Skin lesion segmentation is a crucial step in the computer-aided diagnosis of dermoscopic images. In the last few years, deep learning based semantic segmentation methods have sign…

cs.CV202012 cited

Inter-Image Communication for Weakly Supervised Localization

Xiaolin Zhang, Yunchao Wei, Yi Yang

Weakly supervised localization aims at finding target object regions using only image-level supervision. However, localization maps extracted from classification networks are often…

cs.CV202022 cited

Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps

Xiaolin Zhang, Yunchao Wei, Yi Yang +1

Recently, remarkable progress has been made in weakly supervised object localization (WSOL) to promote object localization maps. The common practice of evaluating these maps applie…

cs.CV2020

Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

Prateek Shroff, Tianlong Chen, Yunchao Wei +1

Deep Neural Network has shown great strides in the coarse-grained image classification task. It was in part due to its strong ability to extract discriminative feature representati…

cs.CV20206 cited

The 1st Agriculture-Vision Challenge: Methods and Results

Mang Tik Chiu, Xingqian Xu, Kai Wang +39

The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially f…