93 citations · 93 across the 3 of their papers we have counts for
3 papers
cs.CV2026
ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation
Yanguang Sun, Hengmin Zhang, Jianjun Qian +2
Early identification and removal of polyps can reduce the risk of developing colorectal cancer. However, the diverse morphologies, complex backgrounds and often concealed nature of…
cs.CV2020★ 93 cited
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
Wei Luo, Hengmin Zhang, Jun Li +1
We aim to provide a computationally cheap yet effective approach for fine-grained image classification (FGIC) in this letter. Unlike previous methods that rely on complex part loca…
cs.LG2019
Learning with Inadequate and Incorrect Supervision
Chen Gong, Hengmin Zhang, Jian Yang +1
Practically, we are often in the dilemma that the labeled data at hand are inadequate to train a reliable classifier, and more seriously, some of these labeled data may be mistaken…