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Few-shot Adaptive Object Detection with Cross-Domain CutMix

Few-shot Adaptive Object Detection with Cross-Domain CutMix

31 August 2022
Yuzuru Nakamura
Yasunori Ishii
Yuki Maruyama
Takayoshi Yamashita
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Papers citing "Few-shot Adaptive Object Detection with Cross-Domain CutMix"

6 / 6 papers shown
Title
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
132
4,993
0
08 Oct 2020
Progressive Domain Adaptation for Object Detection
Progressive Domain Adaptation for Object Detection
Han-Kai Hsu
Chun-Han Yao
Yi-Hsuan Tsai
Wei-Chih Hung
Hung-Yu Tseng
M. Singh
Ming-Hsuan Yang
ObjD
48
307
0
24 Oct 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
557
4,735
0
13 May 2019
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
539
11,540
0
06 Apr 2016
How Far are We from Solving Pedestrian Detection?
How Far are We from Solving Pedestrian Detection?
Shanshan Zhang
Rodrigo Benenson
Mohamed Omran
J. Hosang
Bernt Schiele
45
492
0
03 Feb 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
313
9,418
0
28 May 2015
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