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CURE-OR: Challenging Unreal and Real Environments for Object Recognition
v1v2 (latest)

CURE-OR: Challenging Unreal and Real Environments for Object Recognition

18 October 2018
Dogancan Temel
Jinsol Lee
G. Al-Regib
ArXiv (abs)PDFHTML

Papers citing "CURE-OR: Challenging Unreal and Real Environments for Object Recognition"

28 / 28 papers shown
Title
AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models
AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models
Zheda Mai
A. Chowdhury
Zihe Wang
Sooyoung Jeon
Jingyan Bai
Jiacheng Hou
Jihyung Kil
Wei-Lun Chao
CoGe
187
4
0
10 Jun 2025
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
Jorge Quesada
Chen Zhou
Prithwijit Chowdhury
Mohammad Alotaibi
Ahmad Mustafa
Yusufjon Kumamnov
Mohit Prabhushankar
Ghassan AlRegib
AI4CE
282
1
0
13 May 2025
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
Michael Kuhr
Mohammad Hamad
Pedram MohajerAnsari
Mert D. Pesé
Sebastian Steinhorst
191
4
0
02 Sep 2024
Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets
Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets
Ghazal Kaviani
Reza Marzban
Ghassan AlRegib
121
0
0
11 Aug 2024
Intelligent Multi-View Test Time Augmentation
Intelligent Multi-View Test Time Augmentation
Efe Ozturk
Mohit Prabhushankar
Ghassan AlRegib
186
4
0
12 Jun 2024
Explaining Representation Learning with Perceptual Components
Explaining Representation Learning with Perceptual Components
Yavuz Yarici
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
SSLFAtt
124
0
0
11 Jun 2024
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient AnalysisIEEE Access (IEEE Access), 2023
Jinsol Lee
Charles Lehman
Mohit Prabhushankar
Ghassan AlRegib
179
8
0
06 Apr 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2023
Mohit Prabhushankar
Ghassan Al-Regib
151
3
0
11 Feb 2023
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye SemanticsNeural Information Processing Systems (NeurIPS), 2022
Mohit Prabhushankar
Kiran Kokilepersaud
Yash-yee Logan
Stephanie Trejo Corona
Ghassan AlRegib
C. Wykoff
162
43
0
22 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks
Introspective Learning : A Two-Stage Approach for Inference in Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Mohit Prabhushankar
Ghassan AlRegib
245
22
0
17 Sep 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
141
44
0
18 Aug 2022
A Guide to Image and Video based Small Object Detection using Deep
  Learning : Case Study of Maritime Surveillance
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
Aref Miri Rekavandi
Lian Xu
F. Boussaïd
A. Seghouane
Stephen Hoefs
Bennamoun
ObjD
179
42
0
26 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
Do Perceptually Aligned Gradients Imply Adversarial Robustness?International Conference on Machine Learning (ICML), 2022
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
190
14
0
22 Jul 2022
Gradient-Based Adversarial and Out-of-Distribution Detection
Gradient-Based Adversarial and Out-of-Distribution Detection
Jinsol Lee
Mohit Prabhushankar
Ghassan AlRegib
UQCV
236
14
0
16 Jun 2022
Open-Set Recognition with Gradient-Based Representations
Open-Set Recognition with Gradient-Based RepresentationsInternational Conference on Information Photonics (ICIP), 2021
Jinsol Lee
Ghassan AlRegib
VLMBDL
117
10
0
16 Jun 2022
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
345
9
0
14 Oct 2021
Contrastive Reasoning in Neural Networks
Contrastive Reasoning in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
135
10
0
23 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution ShiftsInternational Conference on Machine Learning (ICML), 2020
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
602
1,629
0
14 Dec 2020
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 CorruptionInternational Conference on Information Photonics (ICIP), 2020
Charles Lehman
Dogancan Temel
Ghassan AlRegib
131
4
0
02 Sep 2020
Gradients as a Measure of Uncertainty in Neural Networks
Gradients as a Measure of Uncertainty in Neural Networks
Jinsol Lee
Ghassan AlRegib
UQCV
165
71
0
18 Aug 2020
Novelty Detection Through Model-Based Characterization of Neural
  Networks
Novelty Detection Through Model-Based Characterization of Neural Networks
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
134
23
0
13 Aug 2020
Backpropagated Gradient Representations for Anomaly Detection
Backpropagated Gradient Representations for Anomaly DetectionEuropean Conference on Computer Vision (ECCV), 2020
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
164
78
0
18 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
232
164
0
16 Jul 2020
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into
  Performance Variations and Spectral Characteristics
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
Dogancan Temel
Min-Hung Chen
G. Al-Regib
129
76
0
29 Aug 2019
Implicit Background Estimation for Semantic Segmentation
Implicit Background Estimation for Semantic SegmentationInternational Conference on Information Photonics (ICIP), 2019
Charles Lehman
Dogancan Temel
G. Al-Regib
VLM
104
2
0
23 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OODVLM
821
3,887
0
28 Mar 2019
Challenging Environments for Traffic Sign Detection: Reliability
  Assessment under Inclement Conditions
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
Dogancan Temel
Tariq A. Alshawi
Min-Hung Chen
G. Al-Regib
188
23
0
19 Feb 2019
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
Dogancan Temel
Jinsol Lee
G. Al-Regib
144
12
0
18 Feb 2019
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