1 citations · 1 across the 6 of their papers we have counts for
6 papers
Rethinking Occlusion in FER: A Semantic-Aware Perspective and Go Beyond
Huiyu Zhai, Xingxing Yang, Yalan Ye +3
Facial expression recognition (FER) is a challenging task due to pervasive occlusion and dataset biases. Especially when facial information is partially occluded, existing FER mode…
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model
Yang Jin, Lei Zhang, Shi Yan +2
Gaze object prediction (GOP) aims to predict the category and location of the object that a human is looking at. Previous methods utilized box-level supervision to identify the obj…
Free Lunch for Generating Effective Outlier Supervision
Sen Pei, Jiaxi Sun, Richard Yi Da Xu +3
When deployed in practical applications, computer vision systems will encounter numerous unexpected images (\emph{i.e.}, out-of-distribution data). Due to the potentially raised sa…
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection
Hu Su, Yonghao He, Rui Jiang +3
Anchor-free detectors basically formulate object detection as dense classification and regression. For popular anchor-free detectors, it is common to introduce an individual predic…
MTLDesc: Looking Wider to Describe Better
Changwei Wang, Rongtao Xu, Yuyang Zhang +4
Limited by the locality of convolutional neural networks, most existing local features description methods only learn local descriptors with local information and lack awareness of…
Out-of-distribution Detection with Boundary Aware Learning
Sen Pei, Xin Zhang, Bin Fan +1
There is an increasing need to determine whether inputs are out-of-distribution (\emph{OOD}) for safely deploying machine learning models in the open world scenario. Typical neural…