.png){kind=icon}
返回
Multidomain Object Detection Framework Using Feature Domain Knowledge Distillation
.png){kind=icon}
PRE
AI
DOI：10.1109/TCYB.2023.3300963.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Object detection techniques have been widely studied, utilized in various works, and have exhibited robust performance on images with sufficient luminance. However, these approaches typically struggle to extract valuable features from low-luminance images, which often exhibit blurriness and dim appearence, leading to detection failures. To overcome this issue, we introduce an innovative unsupervised feature domain knowledge distillation (KD) framework. The proposed framework enhances the generalization capability of neural networks across both low-and high-luminance domains without incurring additional computational costs during testing. This improvement is made possible through the integration of generative adversarial networks and our proposed unsupervised KD process. Furthermore, we introduce a region-based multiscale discriminator designed to discern feature domain discrepancies at the object level rather than from the global context. This bolsters the joint learning process of object detection and feature domain distillation tasks. Both qualitative and quantitative assessments shown that the proposed method, empowered by the region-based multiscale discriminator and the unsupervised feature domain distillation process, can effectively extract beneficial features from low-luminance images, outperforming other state-of-the-art approaches in both low-and sufficient-luminance domains.
Keyword:
Generative adversarial networks (GANs)
object detection
unsupervised knowledge distillation (KD)
期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
机构
引用论文
分享收藏Understanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues了解MHC I类免疫蛋白在原始组织中的组成性呈现.png)
iScience
OAAI
iScienceIF0
OAAI分享收藏SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions
PREAI
分享收藏Thermal comfort, perceived air quality, and cognitive performance when personally controlled air movement is used by tropically acclimatized persons当热带适应的人使用个人控制的空气运动时，热舒适性，感知的空气质量和认知表现Indoor AirOAAI
Indoor AirIF0
OAAI分享收藏Cross-Resolution Feature Fusion for Fast Hand Detection in Intelligent Homecare SystemsIEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏
查看更多内容