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Not Using the Car to See the Sidewalk: Quantifying and Controlling the
  Effects of Context in Classification and Segmentation

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation

17 December 2018
Rakshith Shetty
Bernt Schiele
Mario Fritz
ArXivPDFHTML

Papers citing "Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation"

7 / 57 papers shown
Title
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
97
1,183
0
24 Dec 2019
PanDA: Panoptic Data Augmentation
PanDA: Panoptic Data Augmentation
Yang Liu
Pietro Perona
M. Meister
13
2
0
27 Nov 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
298
274
0
07 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection
Role of Spatial Context in Adversarial Robustness for Object Detection
Aniruddha Saha
Akshayvarun Subramanya
Koninika Patil
Hamed Pirsiavash
ObjD
AAML
29
53
0
30 Sep 2019
Segmentation Transformer: Object-Contextual Representations for Semantic
  Segmentation
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan
Xiaokang Chen
Xilin Chen
Jingdong Wang
ViT
45
1,400
0
24 Sep 2019
Predicting Model Failure using Saliency Maps in Autonomous Driving
  Systems
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
Sina Mohseni
Akshay V. Jagadeesh
Zhangyang Wang
16
13
0
19 May 2019
OCNet: Object Context Network for Scene Parsing
OCNet: Object Context Network for Scene Parsing
Yuhui Yuan
Lang Huang
Jianyuan Guo
Chao Zhang
Xilin Chen
Jingdong Wang
25
599
0
04 Sep 2018
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