1 citations · 2 across the 6 of their papers we have counts for
6 papers
A Survey on Open-Set Image Recognition
Jiayin Sun, Qiulei Dong
Open-set image recognition (OSR) aims to both classify known-class samples and identify unknown-class samples in the testing set, which supports robust classifiers in many realisti…
Recursive Counterfactual Deconfounding for Object Recognition
Jiayin Sun, Hong Wang, Qiulei Dong
Image recognition is a classic and common task in the computer vision field, which has been widely applied in the past decade. Most existing methods in literature aim to learn disc…
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Qiulei Dong, Jiayin Sun, Mengyu Gao
Open-set image recognition is a challenging topic in computer vision. Most of the existing works in literature focus on learning more discriminative features from the input images,…
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition
Jiayin Sun, Hong Wang, Qiulei Dong
Triggered by the success of transformers in various visual tasks, the spatial self-attention mechanism has recently attracted more and more attention in the computer vision communi…
Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling
Jiayin Sun, Qiulei Dong
Open-set recognition (OSR) aims to simultaneously detect unknown-class samples and classify known-class samples. Most of the existing OSR methods are inductive methods, which gener…
Face representation by deep learning: a linear encoding in a parameter space?
Qiulei Dong, Jiayin Sun, Zhanyi Hu
Recently, Convolutional Neural Networks (CNNs) have achieved tremendous performances on face recognition, and one popular perspective regarding CNNs' success is that CNNs could lea…