253 citations · 643 across the 73 of their papers we have counts for
7 papers · 2 filters
IRNet: Iterative Refinement Network for Noisy Partial Label Learning
Zheng Lian, Mingyu Xu, Lan Chen +4
Partial label learning (PLL) is a typical weakly supervised learning, where each sample is associated with a set of candidate labels. Its basic assumption is that the ground-truth…
Q-Net: Query-Informed Few-Shot Medical Image Segmentation
Qianqian Shen, Yanan Li, Jiyong Jin +1
Deep learning has achieved tremendous success in computer vision, while medical image segmentation (MIS) remains a challenge, due to the scarcity of data annotations. Meta-learning…
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Xulin Li, Yan Lu, Bin Liu +7
Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and…
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge
Haiyang Sun, Zheng Lian, Bin Liu +3
In this paper, we propose the solution to the Multi-Task Learning (MTL) Challenge of the 4th Affective Behavior Analysis in-the-wild (ABAW) competition. The task of ABAW is to pred…
Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning
Wanyi Zhuang, Qi Chu, Haojie Yuan +3
Existing face forgery detection methods usually treat face forgery detection as a binary classification problem and adopt deep convolution neural networks to learn discriminative f…
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Xiuxiu Bai, Zhe Liu, Yao Gao +2
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (…