most citedEnhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning

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cs.CV2025

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation

Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang +6

This paper focus on few-shot object detection~(FSOD) and instance segmentation~(FSIS), which requires a model to quickly adapt to novel classes with a few labeled instances. The ex…

cs.CV2024★ 1 cited

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning

Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao +3

Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category methods o…