25 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 25 cited
Rank-DETR for High Quality Object Detection
Yifan Pu, Weicong Liang, Yiduo Hao +5
Modern detection transformers (DETRs) use a set of object queries to predict a list of bounding boxes, sort them by their classification confidence scores, and select the top-ranke…
cs.CV2022★ 4 cited
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang, Yuhui Yuan, Henghui Ding +6
Vision transformers have recently achieved competitive results across various vision tasks but still suffer from heavy computation costs when processing a large number of tokens. M…
cs.CV2022
DETRs with Hybrid Matching
Ding Jia, Yuhui Yuan, Haodi He +6
One-to-one set matching is a key design for DETR to establish its end-to-end capability, so that object detection does not require a hand-crafted NMS (non-maximum suppression) to r…