1 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Meta-ZSDETR: Zero-shot DETR with Meta-learning
Lu Zhang, Chenbo Zhang, Jiajia Zhao +2
Zero-shot object detection aims to localize and recognize objects of unseen classes. Most of existing works face two problems: the low recall of RPN in unseen classes and the confu…
Refined Pseudo labeling for Source-free Domain Adaptive Object Detection
Siqi Zhang, Lu Zhang, Zhiyong Liu
Domain adaptive object detection (DAOD) assumes that both labeled source data and unlabeled target data are available for training, but this assumption does not always hold in real…
FIT: Frequency-based Image Translation for Domain Adaptive Object Detection
Siqi Zhang, Lu Zhang, Zhiyong Liu +1
Domain adaptive object detection (DAOD) aims to adapt the detector from a labelled source domain to an unlabelled target domain. In recent years, DAOD has attracted massive attenti…
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang, Lu Qi, Xu Yang +3
This paper tackles the problem of novel category discovery (NCD), which aims to discriminate unknown categories in large-scale image collections. The NCD task is challenging due to…