4 papers
AMIEOD: Adaptive Multi-Experts Image Enhancement for Object Detection in Low-Illumination Scenes
Xiaochen Huang, Honggang Chen, Weicheng Zhang +4
In multimedia application scenarios, images captured under low-illumination conditions often lead to lower accuracy in visual perception tasks compared to those taken in well-lit e…
Model Compression using Progressive Channel Pruning
Jinyang Guo, Weichen Zhang, Wanli Ouyang +1
In this work, we propose a simple but effective channel pruning framework called Progressive Channel Pruning (PCP) to accelerate Convolutional Neural Networks (CNNs). In contrast t…
Progressive Modality Cooperation for Multi-Modality Domain Adaptation
Weichen Zhang, Dong Xu, Jing Zhang +1
In this work, we propose a new generic multi-modality domain adaptation framework called Progressive Modality Cooperation (PMC) to transfer the knowledge learned from the source do…
Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation
Weichen Zhang, Dong Xu, Wanli Ouyang +1
This paper proposes a new unsupervised domain adaptation approach called Collaborative and Adversarial Network (CAN), which uses the domain-collaborative and domain-adversarial lea…