6 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
HQOD: Harmonious Quantization for Object Detection
Long Huang, Zhiwei Dong, Song-Lu Chen +4
Task inharmony problem commonly occurs in modern object detectors, leading to inconsistent qualities between classification and regression tasks. The predicted boxes with high clas…
Unsupervised Multi-view Pedestrian Detection
Mengyin Liu, Chao Zhu, Shiqi Ren +1
With the prosperity of the video surveillance, multiple cameras have been applied to accurately locate pedestrians in a specific area. However, previous methods rely on the human-l…
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
Mengyin Liu, Jie Jiang, Chao Zhu +1
Detecting pedestrians accurately in urban scenes is significant for realistic applications like autonomous driving or video surveillance. However, confusing human-like objects ofte…
Contour-Aware Equipotential Learning for Semantic Segmentation
Xu Yin, Dongbo Min, Yuchi Huo +1
With increasing demands for high-quality semantic segmentation in the industry, hard-distinguishing semantic boundaries have posed a significant threat to existing solutions. Inspi…