12 citations · 29 across the 16 of their papers we have counts for
4 papers · 1 filter
CLIM: Contrastive Language-Image Mosaic for Region Representation
Size Wu, Wenwei Zhang, Lumin Xu +3
Detecting objects accurately from a large or open vocabulary necessitates the vision-language alignment on region representations. However, learning such a region-text alignment by…
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
Size Wu, Wenwei Zhang, Lumin Xu +4
Open-vocabulary dense prediction tasks including object detection and image segmentation have been advanced by the success of Contrastive Language-Image Pre-training (CLIP). CLIP m…
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection
Shilin Xu, Xiangtai Li, Size Wu +3
Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of classes observed during training. This work introduces a straightforward and efficient strategy…
Aligning Bag of Regions for Open-Vocabulary Object Detection
Size Wu, Wenwei Zhang, Sheng Jin +2
Pre-trained vision-language models (VLMs) learn to align vision and language representations on large-scale datasets, where each image-text pair usually contains a bag of semantic…