Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203285.pdf?arnumber=10203285
Reference77 articles.
1. Relational Learning for Joint Head and Human Detection
2. Rethinking Transformer-based Set Prediction for Object Detection
3. PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
4. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
5. ImageNet: A large-scale hierarchical image database
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