Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer

1 code implementation • ICCV 2023 • Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada

Besides, our colour quantisation method also offers an efficient quantisation method that effectively compresses the image storage while maintaining high performance in high-level recognition tasks such as classification and detection.

You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction

1 code implementation • 30 May 2022 • Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada

Challenging illumination conditions (low-light, under-exposure and over-exposure) in the real world not only cast an unpleasant visual appearance but also taint the computer vision tasks.

Low-Light Image Enhancement object-detection +2

Explainable Analysis of Deep Learning Methods for SAR Image Classification

no code implementations • 14 Apr 2022 • Shenghan Su, Ziteng Cui, Weiwei Guo, Zenghui Zhang, Wenxian Yu

Deep learning methods exhibit outstanding performance in synthetic aperture radar (SAR) image interpretation tasks.

Classification Explainable artificial intelligence +2