1 citations · 1 across the 5 of their papers we have counts for
6 papers
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…
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…
Combining Switching Mechanism with Re-Initialization and Anomaly Detection for Resiliency of Cyber-Physical Systems
Hao Fu, Prashanth Krishnamurthy, Farshad Khorrami
Cyber-physical systems (CPS) play a pivotal role in numerous critical real-world applications that have stringent requirements for safety. To enhance the CPS resiliency against att…
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
Hao Fu, Tunhou Zhang, Hai Li +1
Recent advances in Out-of-Distribution (OOD) Detection is the driving force behind safe and reliable deployment of Convolutional Neural Networks (CNNs) in real world applications.…
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels
Guozhang Liu, Ting Liu, Mengke Yuan +5
The ambiguous appearance, tiny scale, and fine-grained classes of objects in remote sensing imagery inevitably lead to the noisy annotations in category labels of detection dataset…
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…