Enhanced Training of Query-Based Object Detection via Selective Query Recollection-Reference-Cited by-同舟云学术

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Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chen Fangyi¹,Zhang Han¹,Hu Kai¹,Huang Yu-Kai¹,Zhu Chenchen²,Savvides Marios¹

Affiliation:

1. Carnegie Mellon University

2. Meta AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204141.pdf?arnumber=10204141

Reference38 articles.

1. Deep networks with stochastic depth;huang;ECCV,0

2. VarifocalNet: An IoU-aware Dense Object Detector

3. Deep Residual Learning for Image Recognition

4. Accelerating DETR Convergence via Semantic-Aligned Matching

5. Probabilistic anchor as-signment with iou prediction for object detection;kim;ECCV,0

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1. QYOLO: Contextual Query-Assisted Object Detection in High-Resolution Images;Information;2024-09-12

2. DITA: DETR with improved queries for end-to-end temporal action detection;Neurocomputing;2024-09

3. An efficient multi-modal perception based metal fragment detection algorithm in outdoor environments;Signal, Image and Video Processing;2024-08-16

4. TQRFormer: Tubelet query recollection transformer for action detection;Image and Vision Computing;2024-07

5. A Recursive Prediction-Based Feature Enhancement for Small Object Detection;Sensors;2024-06-14

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