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Domain Adaptive Object Detection via Balancing Between Self-Training and
  Adversarial Learning

Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning

8 November 2023
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
    ObjD
ArXivPDFHTML

Papers citing "Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning"

10 / 10 papers shown
Title
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
66
64
0
06 Oct 2021
Seeking Similarities over Differences: Similarity-based Domain Alignment
  for Adaptive Object Detection
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Farzaneh Rezaeianaran
Rakshith Shetty
Rahaf Aljundi
Daniel Olmeda Reino
Shanshan Zhang
Bernt Schiele
OOD
54
77
0
04 Oct 2021
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
Yanpeng Cao
173
111
0
27 Feb 2021
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
166
198
0
23 Mar 2020
Exploring Categorical Regularization for Domain Adaptive Object
  Detection
Exploring Categorical Regularization for Domain Adaptive Object Detection
Chang-Dong Xu
Xingjie Zhao
Xin Jin
Xiu-Shen Wei
OOD
ObjD
135
284
0
20 Mar 2020
Harmonizing Transferability and Discriminability for Adapting Object
  Detectors
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Chaoqi Chen
Zebiao Zheng
Xinghao Ding
Yue Huang
Qi Dou
48
270
0
13 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,813
0
09 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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