Saved in:
| Main Authors: | Madala, Vamshi C., Chandrasekaran, Shivkumar, Bunk, Jason |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2205.10760 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Hyperparameter Importance Assessment for CNNs
by: Wang, Ruinan, et al.
Published: (2024)
by: Wang, Ruinan, et al.
Published: (2024)
Explaning with trees: interpreting CNNs using hierarchies
by: Rodrigues, Caroline Mazini, et al.
Published: (2024)
by: Rodrigues, Caroline Mazini, et al.
Published: (2024)
Explaining Model Overfitting in CNNs via GMM Clustering
by: Dou, Hui, et al.
Published: (2024)
by: Dou, Hui, et al.
Published: (2024)
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
by: Mikriukov, Georgii, et al.
Published: (2023)
by: Mikriukov, Georgii, et al.
Published: (2023)
TraNCE: Transformative Non-linear Concept Explainer for CNNs
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)
Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs
by: Thuau, Sébastien, et al.
Published: (2025)
by: Thuau, Sébastien, et al.
Published: (2025)
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
by: Hatefi, Sayed Mohammad Vakilzadeh, et al.
Published: (2024)
by: Hatefi, Sayed Mohammad Vakilzadeh, et al.
Published: (2024)
Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
by: Nieradzik, Lars, et al.
Published: (2024)
by: Nieradzik, Lars, et al.
Published: (2024)
Stacked Ensemble of Fine-Tuned CNNs for Knee Osteoarthritis Severity Grading
by: Gupta, Adarsh, et al.
Published: (2025)
by: Gupta, Adarsh, et al.
Published: (2025)
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings
by: Scabini, Leonardo, et al.
Published: (2025)
by: Scabini, Leonardo, et al.
Published: (2025)
A Comparative Study of Custom CNNs, Pre-trained Models, and Transfer Learning Across Multiple Visual Datasets
by: Akhand, Annoor Sharara
Published: (2026)
by: Akhand, Annoor Sharara
Published: (2026)
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
by: Islam, Mohammad Tariqul, et al.
Published: (2025)
by: Islam, Mohammad Tariqul, et al.
Published: (2025)
Do Transformers Understand Ancient Roman Coin Motifs Better than CNNs?
by: Reid, David, et al.
Published: (2026)
by: Reid, David, et al.
Published: (2026)
Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use
by: Thuau, Sébastien, et al.
Published: (2025)
by: Thuau, Sébastien, et al.
Published: (2025)
RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model
by: Alomar, Khaled, et al.
Published: (2024)
by: Alomar, Khaled, et al.
Published: (2024)
Generative Classifiers Avoid Shortcut Solutions
by: Li, Alexander C., et al.
Published: (2025)
by: Li, Alexander C., et al.
Published: (2025)
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
by: Fischer, Stefan M., et al.
Published: (2025)
by: Fischer, Stefan M., et al.
Published: (2025)
Efficient CNNs via Passive Filter Pruning
by: Singh, Arshdeep, et al.
Published: (2023)
by: Singh, Arshdeep, et al.
Published: (2023)
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
by: Burgert, Tom, et al.
Published: (2025)
by: Burgert, Tom, et al.
Published: (2025)
Generalization of CNNs on Relational Reasoning with Bar Charts
by: Cui, Zhenxing, et al.
Published: (2025)
by: Cui, Zhenxing, et al.
Published: (2025)
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)
by: Cheng, Qisen, et al.
Published: (2025)
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers
by: Lucena, Natanael, et al.
Published: (2025)
by: Lucena, Natanael, et al.
Published: (2025)
OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation
by: Aggarwal, Aarush, et al.
Published: (2026)
by: Aggarwal, Aarush, et al.
Published: (2026)
REOrdering Patches Improves Vision Models
by: Kutscher, Declan, et al.
Published: (2025)
by: Kutscher, Declan, et al.
Published: (2025)
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
by: Lahoti, Aakash, et al.
Published: (2024)
by: Lahoti, Aakash, et al.
Published: (2024)
An accuracy-aware extension to LRP-based pruning for CNNs to prevent cascading accuracy degradation in data-scarce transfer learning
by: Yasui, Daisuke, et al.
Published: (2025)
by: Yasui, Daisuke, et al.
Published: (2025)
From Ground to Air: Noise Robustness in Vision Transformers and CNNs for Event-Based Vehicle Classification with Potential UAV Applications
by: Almesafri, Nouf, et al.
Published: (2025)
by: Almesafri, Nouf, et al.
Published: (2025)
Accelerating Vision Transformers with Adaptive Patch Sizes
by: Choudhury, Rohan, et al.
Published: (2025)
by: Choudhury, Rohan, et al.
Published: (2025)
Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
by: Mohammad, Mohammed Rahman Sherif Khan, et al.
Published: (2026)
by: Mohammad, Mohammed Rahman Sherif Khan, et al.
Published: (2026)
The Curse of Recursion: Training on Generated Data Makes Models Forget
by: Shumailov, Ilia, et al.
Published: (2023)
by: Shumailov, Ilia, et al.
Published: (2023)
PAVE: Patching and Adapting Video Large Language Models
by: Liu, Zhuoming, et al.
Published: (2025)
by: Liu, Zhuoming, et al.
Published: (2025)
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
by: Jiang, Xi, et al.
Published: (2024)
by: Jiang, Xi, et al.
Published: (2024)
Adaptive Patching for High-resolution Image Segmentation with Transformers
by: Zhang, Enzhi, et al.
Published: (2024)
by: Zhang, Enzhi, et al.
Published: (2024)
LDReg: Local Dimensionality Regularized Self-Supervised Learning
by: Huang, Hanxun, et al.
Published: (2024)
by: Huang, Hanxun, et al.
Published: (2024)
EXAONEPath 1.0 Patch-level Foundation Model for Pathology
by: Yun, Juseung, et al.
Published: (2024)
by: Yun, Juseung, et al.
Published: (2024)
Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
by: Abeywickrama, Sachith, et al.
Published: (2025)
by: Abeywickrama, Sachith, et al.
Published: (2025)
PlantDiseaseNet-RT50: A Fine-tuned ResNet50 Architecture for High-Accuracy Plant Disease Detection Beyond Standard CNNs
by: Sagnika, Santwana, et al.
Published: (2025)
by: Sagnika, Santwana, et al.
Published: (2025)
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction
by: Jang, Huiwon, et al.
Published: (2024)
by: Jang, Huiwon, et al.
Published: (2024)
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
by: Moayeri, Mazda, et al.
Published: (2024)
by: Moayeri, Mazda, et al.
Published: (2024)
Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
by: Shua, Tsufit, et al.
Published: (2024)
by: Shua, Tsufit, et al.
Published: (2024)
Similar Items
-
Efficient Hyperparameter Importance Assessment for CNNs
by: Wang, Ruinan, et al.
Published: (2024) -
Explaning with trees: interpreting CNNs using hierarchies
by: Rodrigues, Caroline Mazini, et al.
Published: (2024) -
Explaining Model Overfitting in CNNs via GMM Clustering
by: Dou, Hui, et al.
Published: (2024) -
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
by: Mikriukov, Georgii, et al.
Published: (2023) -
TraNCE: Transformative Non-linear Concept Explainer for CNNs
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)