2 citations · 7 across the 5 of their papers we have counts for
6 papers
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…
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…
Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP
Shuyang Lin, Tong Jia, Hao Wang +3
X-ray prohibited item detection is an essential component of security check and categories of prohibited item are continuously increasing in accordance with the latest laws. Previo…
MMCL: Correcting Content Query Distributions for Improved Anti-Overlapping X-Ray Object Detection
Mingyuan Li, Tong Jia, Hui Lu +7
Unlike natural images with occlusion-based overlap, X-ray images exhibit depth-induced superimposition and semi-transparent appearances, where objects at different depths overlap a…
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
Mingyuan Li, Tong Jia, Hao Wang +4
Prohibited item detection in X-ray images is one of the most essential and highly effective methods widely employed in various security inspection scenarios. Considering the signif…
Enhancing Identification of Structure Function of Academic Articles Using Contextual Information
Bowen Ma, Chengzhi Zhang, Yuzhuo Wang +1
With the enrichment of literature resources, researchers are facing the growing problem of information explosion and knowledge overload. To help scholars retrieve literature and ac…