4 citations · 4 across the 6 of their papers we have counts for
7 papers
Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation
Yaowen Chang, Zhen Cao, Xu Zheng +2
Panoramic semantic segmentation is pivotal for comprehensive 360° scene understanding in critical applications like autonomous driving and virtual reality. However, progress in thi…
HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection
Han Zhou, Yuxuan Gao, Yinchao Du +1
Unsupervised industrial anomaly detection (UAD) is essential for modern manufacturing inspection, where defect samples are scarce and reliable detection is required. In this paper,…
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
Yihong Cao, Jiaming Zhang, Xu Zheng +5
Panoramic image processing is essential for omni-context perception, yet faces constraints like distortions, perspective occlusions, and limited annotations. Previous unsupervised…
Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation
Jialei Chen, Xu Zheng, Danda Pani Paudel +3
Zero-shot Semantic Segmentation (ZSS) aims to segment both seen and unseen classes using supervision from only seen classes. Beyond adaptation-based methods, distillation-based app…
BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation
Jialei Chen, Xu Zheng, Danda Pani Paudel +3
Utilizing multi-modal data enhances scene understanding by providing complementary semantic and geometric information. Existing methods fuse features or distill knowledge from mult…
Split Matching for Inductive Zero-shot Semantic Segmentation
Jialei Chen, Xu Zheng, Dongyue Li +6
Zero-shot Semantic Segmentation (ZSS) aims to segment categories that are not annotated during training. While fine-tuning vision-language models has achieved promising results, th…
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation
Jialei Chen, Daisuke Deguchi, Chenkai Zhang +2
Generalized Zero-shot Semantic Segmentation aims to segment both seen and unseen categories only under the supervision of the seen ones. To tackle this, existing methods adopt the…