DETReg: Unsupervised Pretraining with Region Priors for Object Detection-Reference-Cited by-同舟云学术

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DETReg: Unsupervised Pretraining with Region Priors for Object Detection

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Bar Amir¹,Wang Xin²,Kantorov Vadim¹,Reed Colorado J³,Herzig Roei¹,Chechik Gal⁴,Rohrbach Anna³,Darrell Trevor³,Globerson Amir¹

Affiliation:

1. Tel-Aviv University

2. Microsoft Research

3. Berkeley AI Research

4. NVIDIA

Funder

European Research Council (ERC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879947.pdf?arnumber=9879947

Reference72 articles.

1. Edge boxes: Locating object proposals from edges;zitnick;ECCV,2014

2. Deformable DETR: Deformable trans-formers for end-to-end object detection;zhu;Arxiv preprint arXiv,2020

3. Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection

4. Transformation Invariant Few-Shot Object Detection

5. The Hungarian method for the assignment problem

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