2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
Jinglun Li, Xinyu Zhou, Pinxue Guo +4
Detecting out-of-distribution inputs for visual recognition models has become critical in safe deep learning. This paper proposes a novel hierarchical visual category modeling sche…
cs.CV2023★ 1 cited
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context
Yicheng Song, Shuyong Gao, Haozhe Xing +3
Unsupervised salient object detection aims to detect salient objects without using supervision signals eliminating the tedious task of manually labeling salient objects. To improve…
cs.CV2023★ 2 cited
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
Siao Liu, Zhaoyu Chen, Yang Liu +8
Learning a policy with great generalization to unseen environments remains challenging but critical in visual reinforcement learning. Despite the success of augmentation combinatio…