Image de couverture de livre

Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Linse, Christoph, Brückner, Beatrice, Martinetz, Thomas
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Convolutional Neural Networks Do Work with Pre-Defined Filters
par: Linse, Christoph, et autres
Publié: (2024)

Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
par: Linse, Christoph, et autres
Publié: (2024)

Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
par: Martinetz, Julius, et autres
Publié: (2024)

Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
par: Anderson, Kathleen, et autres
Publié: (2025)

Nearest-Neighbor Density Estimation for Dependency Suppression
par: Anderson, Kathleen, et autres
Publié: (2026)

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
par: Zhao, Chenqiu, et autres
Publié: (2023)

Feature Visualization in 3D Convolutional Neural Networks
par: Li, Chunpeng, et autres
Publié: (2025)

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization
par: Ferdi, Abdesselam
Publié: (2024)

TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
par: Ntrougkas, Mariano, et autres
Publié: (2023)

Edge Detectors Can Make Deep Convolutional Neural Networks More Robust
par: Ding, Jin, et autres
Publié: (2024)

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation
par: Karkehabadi, Ali, et autres
Publié: (2026)

Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
par: Brückner, Benedikt, et autres
Publié: (2024)

Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysis
par: Xi, Zhenghao, et autres
Publié: (2025)

Enhancing Road Safety: Real-Time Detection of Driver Distraction through Convolutional Neural Networks
par: Sheikh, Amaan Aijaz, et autres
Publié: (2024)

Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
par: Wu, Cheng-En, et autres
Publié: (2023)

Offline Writer Identification Using Convolutional Neural Network Activation Features
par: Christlein, Vincent, et autres
Publié: (2024)

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
par: Grün, Felix, et autres
Publié: (2016)

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
par: Wu, Fuzhi, et autres
Publié: (2024)

Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels
par: Hsing, Chia-Wei, et autres
Publié: (2026)

Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
par: Gong, Yunpeng, et autres
Publié: (2024)

Towards Generalized Entropic Sparsification for Convolutional Neural Networks
par: Barisin, Tin, et autres
Publié: (2024)

Feature Map Similarity Reduction in Convolutional Neural Networks
par: Belmekki, Zakariae, et autres
Publié: (2024)

Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees
par: Srinivas, Maddimsetti, et autres
Publié: (2024)

Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
par: Chhabra, Sachin, et autres
Publié: (2025)

Normalized Convolutional Neural Network
par: Kim, Dongsuk, et autres
Publié: (2020)

The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach
par: Bertoin, David, et autres
Publié: (2024)

A Light Weight Multi-Features-View Convolution Neural Network For Plant Disease Identification
par: Khan, Muhammad Kaleem Ullah
Publié: (2026)

EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views
par: Yu, Weiqi, et autres
Publié: (2026)

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
par: K., Keshav Kumar, et autres
Publié: (2023)

Self Expanding Convolutional Neural Networks
par: Appolinary, Blaise, et autres
Publié: (2024)

Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
par: Roumeliotis, Konstantinos I., et autres
Publié: (2025)

Enhanced Convolutional Neural Networks for Improved Image Classification
par: Yang, Xiaoran, et autres
Publié: (2025)

ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
par: Dehshibi, Mohammad Mahdi, et autres
Publié: (2022)

RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
par: Zhang, Xin, et autres
Publié: (2023)

Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
par: Heinert, Edgar, et autres
Publié: (2024)

Optimizing Violence Detection in Video Classification Accuracy through 3D Convolutional Neural Networks
par: Kavathia, Aarjav, et autres
Publié: (2024)

Physical Rule-Guided Convolutional Neural Network
par: Gupta, Kishor Datta, et autres
Publié: (2024)

Distributed Convolutional Neural Networks for Object Recognition
par: Sun, Liang
Publié: (2026)

Weed Detection using Convolutional Neural Network
par: Tripathi, Santosh Kumar, et autres
Publié: (2025)

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
par: He, Yihui, et autres
Publié: (2019)