7 papers
AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
Tingting Zheng, Hongxun Yao, Kui Jiang +2
Recent advances in multi-instance learning (MIL) have witnessed impressive performance in whole slide image (WSI) analysis. However, the inherent sparsity of tumors and their morph…
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
Chankyo Kim, Sicheng Zhao, Minghan Zhu +2
Many scientific and geometric problems exhibit general linear symmetries, yet most equivariant neural networks are built for compact groups or simple vector features, limiting thei…
Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection
Huizai Yao, Sicheng Zhao, Pengteng Li +6
Source-Free Object Detection (SFOD) aims to adapt a source-pretrained object detector to a target domain without access to source data. However, existing SFOD methods predominantly…
SfMamba: Efficient Source-Free Domain Adaptation via Selective Scan Modeling
Xi Chen, Hongxun Yao, Sicheng Zhao +3
Source-free domain adaptation (SFDA) tackles the critical challenge of adapting source-pretrained models to unlabeled target domains without access to source data, overcoming data…
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision
Chuang Yu, Jinmiao Zhao, Yunpeng Liu +3
Recently, single-frame infrared small target (SIRST) detection with single point supervision has drawn wide-spread attention. However, the latest label evolution with single point…
Multi-source Domain Adaptation for Panoramic Semantic Segmentation
Jing Jiang, Sicheng Zhao, Jiankun Zhu +7
Unsupervised domain adaptation methods for panoramic semantic segmentation utilize real pinhole images or low-cost synthetic panoramic images to transfer segmentation models to rea…