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Bounding Box Stability against Feature Dropout Reflects Detector
  Generalization across Environments

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

20 March 2024
Yang Yang
Wenhai Wang
Zhe Chen
Jifeng Dai
Liang Zheng
ArXivPDFHTML

Papers citing "Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments"

3 / 3 papers shown
Title
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian-jun Sun
205
670
0
30 Apr 2018
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,817
0
18 Aug 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
247
9,042
0
06 Jun 2015
1