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1807.10108
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Effects of Degradations on Deep Neural Network Architectures
26 July 2018
Prasun Roy
Subhankar Ghosh
Saumik Bhattacharya
Umapada Pal
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Papers citing
"Effects of Degradations on Deep Neural Network Architectures"
50 / 51 papers shown
Personalized federated prototype learning in mixed heterogeneous data scenarios
Jiahao Zeng
Wolong Xing
Liangtao Shi
Xin Huang
Jialin Wang
Zhile Cao
Zhenkui Shi
FedML
148
0
0
04 Oct 2025
Incorporating Visual Cortical Lateral Connection Properties into CNN: Recurrent Activation and Excitatory-Inhibitory Separation
Jin Hyun Park
Cheng Zhang
Yoonsuck Choe
FAtt
197
1
0
18 Sep 2025
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency
Yanbiao Ma
Wei-Ming Dai
Bowei Liu
Jiayi Chen
Wenke Huang
Guancheng Wan
Zhiwu Lu
Junchi Yan
FedML
174
0
0
19 Aug 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2025
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
498
7
0
09 Mar 2025
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Neural Information Processing Systems (NeurIPS), 2024
Yongzhe Jia
Xuyun Zhang
Hongsheng Hu
K. Choo
Lianyong Qi
Xiaolong Xu
Amin Beheshti
Wanchun Dou
MoMe
FedML
324
6
0
08 Dec 2024
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness
Canadian Conference on Computer and Robot Vision (CRV), 2023
Zahra Golpayegani
Patrick St-Amant
Nizar Bouguila
264
1
0
07 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
Kahou Tam
Kewei Xu
Li Li
Huazhu Fu
MU
275
1
0
05 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
253
43
0
26 May 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Mingli Song
Junbo Zhao
Gang Chen
319
5
0
11 Mar 2024
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
Jinha Park
Won-Yong Cho
Taesup Kim
198
0
0
08 Mar 2024
Partially Recentralization Softmax Loss for Vision-Language Models Robustness
Hao Wang
Xin Zhang
Jinzhe Jiang
Yaqian Zhao
Chen Li
AAML
143
0
0
06 Feb 2024
How much data do I need? A case study on medical data
BigData Congress [Services Society] (BSS), 2023
Ayse Betul Cengiz
A. Mcgough
235
3
0
26 Nov 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Neural Information Processing Systems (NeurIPS), 2023
Sara Pieri
Jose Renato Restom
Samuel Horvath
Hisham Cholakkal
FedML
168
9
0
23 Oct 2023
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes
IEEE International Conference on Robotics and Automation (ICRA), 2023
Alloy Das
Sanket Biswas
Umapada Pal
Josep Lladós
323
4
0
01 Oct 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
224
82
0
28 Sep 2023
What's color got to do with it? Face recognition in grayscale
IEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2023
Aman Bhatta
Domingo Mery
Haiyu Wu
Joyce Annan
Micheal C. King
Kevin W. Bowyer
CVBM
273
4
0
11 Sep 2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization
Computer Vision and Pattern Recognition (CVPR), 2023
Junyi Zhu
Xingchen Ma
Matthew B. Blaschko
FedML
192
37
0
21 May 2023
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Jianhao Huang
Dongxu Li
Chenyu Huang
Xiaoqi Qin
Wei Zhang
247
41
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27 Feb 2023
Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments
Journal of Real-Time Image Processing (JRIP), 2023
Erdi Kara
George Zhang
Joseph J. Williams
Gonzalo Ferrandez-Quinto
Leviticus J. Rhoden
Maximilian Kim
J. Nathan Kutz
Aminur Rahman
164
6
0
27 Jan 2023
Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications
Advanced Video and Signal Based Surveillance (AVSS), 2022
Michael O'Byrne
Anil Vibhoothi
M. Sugrue
Kokaram
105
12
0
10 Nov 2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
Zi-Chen Liang
Matteo Sesia
Wenguang Sun
OODD
308
25
0
23 Aug 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Neural Information Processing Systems (NeurIPS), 2022
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
400
87
0
19 Jul 2022
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
International Conference on Learning Representations (ICLR), 2021
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OOD
DRL
394
78
0
17 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi
Frederik Trauble
M. Wuthrich
Felix Widmaier
Peter V. Gehler
Ole Winther
Francesco Locatello
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
227
19
0
12 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
223
58
0
12 Jul 2021
A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), 2021
C. Berger
92
1
0
30 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
International Conference on Learning Representations (ICLR), 2021
Lixu Wang
Shichao Xu
Ruiqi Xu
Tianlin Li
Qi Zhu
AAML
268
57
0
13 Jun 2021
Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks
IEEE Signal Processing Letters (IEEE SPL), 2021
Xiaoyu Lin
Deblina Bhattacharjee
Majed El Helou
Sabine Süsstrunk
243
6
0
01 Jun 2021
A Novel lightweight Convolutional Neural Network, ExquisiteNetV2
Shyh Yaw Jou
C. Su
346
8
0
19 May 2021
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Medical Physics (Lancaster) (Med. Phys.), 2021
Junyu Chen
Ye Li
L. Luna
H. Chung
S. Rowe
Yong Du
L. Solnes
Eric C. Frey
162
21
0
17 Apr 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
Expert systems with applications (ESWA), 2021
Francesco Ponzio
Enrico Macii
E. Ficarra
S. D. Cataldo
142
6
0
24 Mar 2021
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
357
342
0
22 Feb 2021
Geometric feature performance under downsampling for EEG classification tasks
Bryan Bischof
Eric Bunch
97
3
0
15 Feb 2021
Online Continual Learning in Image Classification: An Empirical Survey
Neurocomputing (Neurocomputing), 2021
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLM
CLL
538
484
0
25 Jan 2021
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems
IFIP International Information Security Conference (IFIP SEC), 2021
Sibendu Paul
Utsav Drolia
Y. C. Hu
S. Chakradhar
148
24
0
24 Jan 2021
Learning degraded image classification with restoration data fidelity
Xiaoyu Lin
115
2
0
23 Jan 2021
Assessing Wireless Sensing Potential with Large Intelligent Surfaces
IEEE Open Journal of the Communications Society (OJ-COMSOC), 2020
Cristian J. Vaca-Rubio
Pablo Ramírez-Espinosa
K. Kansanen
Zheng-Hua Tan
E. de Carvalho
P. Popovski
126
13
0
16 Nov 2020
Byzantine Resilient Distributed Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2020
Jiani Li
W. Abbas
X. Koutsoukos
203
9
0
25 Oct 2020
Detection Of Concrete Cracks using Dual-channel Deep Convolutional Network
International Conference on Computing Communication and Networking Technologies (ICCCNT), 2020
B. Kumar
Sayantari Ghosh
112
14
0
22 Sep 2020
Deep Network Ensemble Learning applied to Image Classification using CNN Trees
A. M. Hafiz
G. M. Bhat
103
9
0
23 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
Computer 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
273
167
0
16 Jul 2020
CPR: Classifier-Projection Regularization for Continual Learning
International Conference on Learning Representations (ICLR), 2020
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
CLL
270
90
0
12 Jun 2020
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting
International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2020
Cristian J. Vaca-Rubio
Pablo Ramírez-Espinosa
Robin Jess-Williams
K. Kansanen
Zheng-Hua Tan
E. de Carvalho
P. Popovski
AI4CE
104
8
0
11 Jun 2020
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving
Applied Soft Computing (ASC), 2020
Farzeen Munir
Shoaib Azam
Muhammd Aasim Rafique
A. Sheri
M. Jeon
Witold Pedrycz
192
46
0
01 Jun 2020
Distributed Learning and Inference with Compressed Images
Sudeep Katakol
Basem Elbarashy
Luis Herranz
Joost van de Weijer
Antonio M. López
207
12
0
22 Apr 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Journal of Cognitive Neuroscience (J Cogn Neurosci), 2020
Grace W. Lindsay
MedIm
310
488
0
20 Jan 2020
Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
Puneesh Deora
Bhavya Vasudeva
Saumik Bhattacharya
P. M. Pradhan
GAN
MedIm
265
38
0
14 Oct 2019
Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
Yijie Xu
A. Goel
ViT
182
6
0
12 Oct 2019
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision
John K. Tsotsos
Iuliia Kotseruba
Alexander Andreopoulos
Yulong Wu
137
7
0
28 Aug 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks
IEEE Access (IEEE Access), 2019
Adam Byerly
T. Kalganova
250
14
0
20 Jun 2019
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