21 citations · 21 across the 4 of their papers we have counts for
5 papers · 1 filter
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Jun Li, Hongzhang Zhu, Tao Chen +1
Recently, numerous pancreas segmentation methods have achieved promising performance on local single-source datasets. However, these methods don't adequately account for generaliza…
AMD: Adaptive Masked Distillation for Object Detection
Guang Yang, Yin Tang, Jun Li +2
As a general model compression paradigm, feature-based knowledge distillation allows the student model to learn expressive features from the teacher counterpart. In this paper, we…
Reversible Column Networks
Yuxuan Cai, Yizhuang Zhou, Qi Han +4
We propose a new neural network design paradigm Reversible Column Network (RevCol). The main body of RevCol is composed of multiple copies of subnetworks, named columns respectivel…
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
Yushan Zheng, Jun Li, Jun Shi +2
Transformer has been widely used in histopathology whole slide image (WSI) classification for the purpose of tumor grading, prognosis analysis, etc. However, the design of token-wi…
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Jun Li, Yushan Zheng, Kun Wu +3
Local representation learning has been a key challenge to promote the performance of the histopathological whole slide images analysis. The previous representation learning methods…