3 papers
cs.CV2026
Human-Inspired Asymmetric Collaboration for Dual-Student Semi-Supervised Medical Image Segmentation
Huiyi Ren, Ziming Fang, Jiaming Cai +2
Dual-student learning enriches predictive diversity in SSMIS by introducing a strongly augmented view alongside a weakly augmented view. Insufficient strong augmentation may homoge…
cs.CV2026
Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentation
Jian Shi, Cheng Zhen, Pingping Zhang +6
Language-guided Medical Image Segmentation (LMIS) has shown great potential to improve the delineation of anatomical structures and lesions by integrating clinical textual informat…
cs.CV2024
Is a Pure Transformer Effective for Separated and Online Multi-Object Tracking?
Chongwei Liu, Haojie Li, Zhihui Wang +1
Recent advances in Multi-Object Tracking (MOT) have demonstrated significant success in short-term association within the separated tracking-by-detection online paradigm. However,…