13 citations · 23 across the 5 of their papers we have counts for
5 papers · 1 filter
Vision Mamba Distillation for Low-resolution Fine-grained Image Classification
Yao Chen, Jiabao Wang, Peichao Wang +2
Low-resolution fine-grained image classification has recently made significant progress, largely thanks to the super-resolution techniques and knowledge distillation methods. Howev…
FewSAR: A Few-shot SAR Image Classification Benchmark
Rui Zhang, Ziqi Wang, Yang Li +2
Few-shot learning (FSL) is one of the significant and hard problems in the field of image classification. However, in contrast to the rapid development of the visible light dataset…
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
Jiabao Wang, Yang Li, Xiu-Shen Wei +3
Unsupervised learning technology has caught up with or even surpassed supervised learning technology in general object classification (GOC) and person re-identification (re-ID). Ho…
Grafted network for person re-identification
Jiabao Wang, Yang Li, Shanshan Jiao +2
Convolutional neural networks have shown outstanding effectiveness in person re-identification (re-ID). However, the models always have large number of parameters and much computat…
A heterogeneous branch and multi-level classification network for person re-identification
Jiabao Wang, Yang Li, Yangshuo Zhang +2
Convolutional neural networks with multiple branches have recently been proved highly effective in person re-identification (re-ID). Researchers design multi-branch networks using…