3 papers
cs.CV2025
FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
Mingyuan Li, Tong Jia, Han Gu +7
Overlapping object perception aims to decouple the randomly overlapping foreground-background features, extracting foreground features while suppressing background features, which…
cs.CV2025
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
Mingyuan Li, Tong Jia, Hao Wang +5
Prohibited item detection based on X-ray images is one of the most effective security inspection methods. However, the foreground-background feature coupling caused by the overlapp…
cs.CV2024
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
Shizhuo Deng, Bowen Han, Jiaqi Chen +3
Noisy labels threaten the robustness of few-shot learning (FSL) due to the inexact features in a new domain. CLIP, a large-scale vision-language model, performs well in FSL on imag…