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Rank-DETR for high quality object detection
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 …
bounding boxes, sort them by their classification confidence scores, and select the top …
Mask frozen-detr: High quality instance segmentation with one gpu
Z Liang, Y Yuan - ar**_Autonomous_Driving_Radars_with_Self-Supervised_Learning_CVPR_2024_paper.pdf" data-clk="hl=fa&sa=T&oi=gga&ct=gga&cd=2&d=1705637719922915525&ei=oSO-Z-DiG5-_6rQP3vnx8Qk" data-clk-atid="xTiDK3ikqxcJ" target="_blank">[PDF] thecvf.com
Bootstrap** Autonomous Driving Radars with Self-Supervised Learning
The perception of autonomous vehicles using radars has attracted increased research
interest due its ability to operate in fog and bad weather. However training radar models is …
interest due its ability to operate in fog and bad weather. However training radar models is …
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers
Direct image-to-graph transformation is a challenging task that involves solving object
detection and relationship prediction in a single model. Due to this task's complexity, large …
detection and relationship prediction in a single model. Due to this task's complexity, large …