7 papers
DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with Label Disambiguation
Zihan Yang, Yang Guo, Hongxing Zhang +2
Despite the remarkable progress over the past decades, accurately identifying small objects remains challenging because of their insufficient visual cues. Previous works typically…
Loop-Mamba: A Loop Mamba with Degradation-Aware and Shared Memory for Old Photo Restoration
Runci Bai, Yucheng Xin, Pu Wang +8
Old photographs often suffer from multiple coupled degradations, including scratches, cracks, fading, blur, noise, and missing regions, severely degrading both visual quality and s…
MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration
Yongcong Wang, Pu Wang, Hingchin Chen +8
Real-world video arrives hazy, rainy, dark, or noisy, and a deployable restorer faces three demands at once: no degradation label, native 4K output, and stability in playback. Exis…
SFDATrack: Generalized Source-Free Domain Adaptive Tracking Under Adverse Weather Conditions
Siyuan Yao, Ziqi Wang, Ruiqi Yu +3
Domain adaptive visual object tracking under adverse weather conditions has garnered significant attention in recent years. Despite the impressive performance, existing methods hea…
Adaptive Spectrum-Aware Feature Disentangled Network for Small Object Detection
Yang Guo, Zihan Yang, Feifei Kou +3
Small Object Detection (SOD) is a fundamental yet challenging problem in computer vision due to its limited spatial resolution and weak visual cues. Although recent approaches have…
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
Siyuan Yao, Rui Zhu, Ziqi Wang +3
Visual object tracking has gained promising progress in past decades. Most of the existing approaches focus on learning target representation in well-conditioned daytime data, whil…