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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

Yang Yang
Wenhai Wang
Zhe Chen
Jifeng Dai
Liang Zheng
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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 Sun
222
675
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
253
1,828
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
285
9,138
0
06 Jun 2015