27 citations · 75 across the 17 of their papers we have counts for
3 papers · 1 filter
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
The goal of contrastive learning based pre-training is to leverage large quantities of unlabeled data to produce a model that can be readily adapted downstream. Current approaches…
Disentangle Your Dense Object Detector
Zehui Chen, Chenhongyi Yang, Qiaofei Li +3
Deep learning-based dense object detectors have achieved great success in the past few years and have been applied to numerous multimedia applications such as video understanding.…
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Chenhongyi Yang, Zehao Huang, Naiyan Wang
While general object detection with deep learning has achieved great success in the past few years, the performance and efficiency of detecting small objects are far from satisfact…