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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
64
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
132
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
45
270
0
13 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
230
789
0
26 Aug 2019
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,804
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
270
5,660
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
9,136
0
06 Jun 2015
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