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

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

18 February 2019

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

8 / 8 papers shown

Title
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 196 14 0 16 Jun 2022
Open-Set Recognition with Gradient-Based RepresentationsInternational Conference on Information Photonics (ICIP), 2021 Jinsol Lee Ghassan AlRegib VLM BDL 93 10 0 16 Jun 2022
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos Shaocheng Jia Xin Pei W. Yao S. Wong 3DPC MDE 126 20 0 07 Jun 2021
On the Structures of Representation for the Robustness of Semantic Segmentation to Input CorruptionInternational Conference on Information Photonics (ICIP), 2020 Charles Lehman Dogancan Temel Ghassan AlRegib 95 4 0 02 Sep 2020
Gradients as a Measure of Uncertainty in Neural Networks Jinsol Lee Ghassan AlRegib UQCV 145 69 0 18 Aug 2020
Novelty Detection Through Model-Based Characterization of Neural Networks Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 90 23 0 13 Aug 2020
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Dogancan Temel Min-Hung Chen G. Al-Regib 92 75 0 29 Aug 2019
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions Dogancan Temel Tariq A. Alshawi Min-Hung Chen G. Al-Regib 102 23 0 19 Feb 2019

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