1 code implementation • ECCV 2020 • Chuanchen Luo, Chunfeng Song, Zhao-Xiang Zhang
Despite the impressive performance under the single-domain setup, current fully-supervised models for person re-identification (re-ID) degrade significantly when deployed to an unseen domain.
2 code implementations • CVPR 2022 • Renjie Zou, Chunfeng Song, Zhaoxiang Zhang
Inspired by recent progresses of Vision Transformer (ViT) and Swin Transformer, we found that combining the local-aware attention mechanism with the global-related feature learning could meet the expectation in image compression.
Ranked #1 on Image Compression on kodak
1 code implementation • CVPR 2019 • Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang
To address this problem, it is a good choice to learn to segment with weak supervision from bounding boxes.
Weakly-supervised Learning Weakly supervised Semantic Segmentation +1
no code implementations • 19 Feb 2019 • Zhenyu Wang, Wei Zheng, Chunfeng Song
In this paper, we propose a method for air quality measurement based on double-channel convolutional neural network ensemble learning to solve the problem of feature extraction for different parts of environmental images.
1 code implementation • 27 Nov 2018 • Junsong Fan, Zhao-Xiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao
Weakly supervised semantic segmentation with only image-level labels saves large human effort to annotate pixel-level labels.
1 code implementation • CVPR 2018 • Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang
We may be the first one to successfully introduce the binary mask into person ReID task and the first one to propose region-level contrastive learning.