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Object Recognition under Multifarious Conditions: A Reliability Analysis
  and A Feature Similarity-based Performance Estimation

Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation

18 February 2019
Dogancan Temel
Jinsol Lee
G. Al-Regib
ArXivPDFHTML

Papers citing "Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation"

5 / 5 papers shown
Title
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient Analysis
Jinsol Lee
Charles Lehman
Mohit Prabhushankar
Ghassan AlRegib
29
7
0
06 Apr 2023
Gradient-Based Adversarial and Out-of-Distribution Detection
Gradient-Based Adversarial and Out-of-Distribution Detection
Jinsol Lee
Mohit Prabhushankar
Ghassan AlRegib
UQCV
32
13
0
16 Jun 2022
Self-supervised Depth Estimation Leveraging Global Perception and
  Geometric Smoothness Using On-board Videos
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos
Shaocheng Jia
Xin Pei
W. Yao
S. Wong
3DPC
MDE
43
19
0
07 Jun 2021
On the Structures of Representation for the Robustness of Semantic
  Segmentation to Input Corruption
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
Charles Lehman
Dogancan Temel
Ghassan AlRegib
19
4
0
02 Sep 2020
Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
43
224
0
19 Feb 2018
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