3 papers
cs.LG2024
Out-of-Distribution Detection with Overlap Index
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg +1
Out-of-distribution (OOD) detection is crucial for the deployment of machine learning models in the open world. While existing OOD detectors are effective in identifying OOD sample…
cs.CV2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
Hao Fu, Naman Patel, Prashanth Krishnamurthy +1
Detection of out-of-distribution (OOD) samples is crucial for safe real-world deployment of machine learning models. Recent advances in vision language foundation models have made…
cs.CV2024
Adaptive Domain Learning for Cross-domain Image Denoising
Zian Qian, Chenyang Qi, Ka Lung Law +3
Different camera sensors have different noise patterns, and thus an image denoising model trained on one sensor often does not generalize well to a different sensor. One plausible…