27 citations · 75 across the 17 of their papers we have counts for
4 papers · 1 filter
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
Chenhongyi Yang, Jiarui Xu, Shalini De Mello +2
We present the Group Propagation Vision Transformer (GPViT): a novel nonhierarchical (i.e. non-pyramidal) transformer model designed for general visual recognition with high-resolu…
Plug and Play Active Learning for Object Detection
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
Annotating datasets for object detection is an expensive and time-consuming endeavor. To minimize this burden, active learning (AL) techniques are employed to select the most infor…
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
Jiahao Chang, Shuo Wang, Haiming Xu +3
Transformer-based detectors (DETRs) are becoming popular for their simple framework, but the large model size and heavy time consumption hinder their deployment in the real world.…
Prediction-Guided Distillation for Dense Object Detection
Chenhongyi Yang, Mateusz Ochal, Amos Storkey +1
Real-world object detection models should be cheap and accurate. Knowledge distillation (KD) can boost the accuracy of a small, cheap detection model by leveraging useful informati…