89 citations · 198 across the 24 of their papers we have counts for
5 papers · 1 filter
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Tiancai Wang, Tong Yang, Jiale Cao +1
Object detectors usually achieve promising results with the supervision of complete instance annotations. However, their performance is far from satisfactory with sparse instance a…
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
Yanwei Pang, Jiale Cao, Yazhao Li +3
Vehicles, pedestrians, and riders are the most important and interesting objects for the perception modules of self-driving vehicles and video surveillance. However, the state-of-t…
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
Jiale Cao, Yanwei Pang, Jin Xie +2
Pedestrian detection is an important but challenging problem in computer vision, especially in human-centric tasks. Over the past decade, significant improvement has been witnessed…
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal +3
Single-stage instance segmentation approaches have recently gained popularity due to their speed and simplicity, but are still lagging behind in accuracy, compared to two-stage met…
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
Yazhao Li, Yanwei Pang, Jianbing Shen +2
Due to the advantages of real-time detection and improved performance, single-shot detectors have gained great attention recently. To solve the complex scale variations, single-sho…