"anomaly segmentation" Papers
10 papers found
Conference
A Dataset for Semantic Segmentation in the Presence of Unknowns
Zakaria Laskar, Tomas Vojir, Matej Grcic et al.
CVPR 2025arXiv:2503.22309
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
Yankai Jiang, Peng Zhang, Donglin Yang et al.
CVPR 2025arXiv:2505.02753
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation
Yuxuan Zhang, Zhenbo Shi, han ye et al.
NEURIPS 2025
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Hanzhe Liang, Guoyang Xie, Chengbin Hou et al.
AAAI 2025paperarXiv:2412.13461
19
citations
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Hui-Yue Yang, Hui Chen, Ao Wang et al.
AAAI 2025paperarXiv:2411.17217
9
citations
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
Zhewei Dai, Shilei Zeng, Haotian Liu et al.
ICCV 2025arXiv:2410.14987
12
citations
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving
Alexey Nekrasov, Malcolm Burdorf, Stewart Worrall et al.
CVPR 2025arXiv:2505.02148
5
citations
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
ECCV 2024arXiv:2505.09264
18
citations
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge Aranda, Riccardo Volpi, Puneet Dokania et al.
ECCV 2024arXiv:2402.16392
11
citations
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
Zelong Zeng, Kaname Tomite
ECCV 2024arXiv:2404.17961
1
citations