:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Linse, Christoph, Brückner, Beatrice, Martinetz, Thomas
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.16897
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convolutional Neural Networks Do Work with Pre-Defined Filters
by: Linse, Christoph, et al.
Published: (2024)

Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
by: Linse, Christoph, et al.
Published: (2024)

Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
by: Martinetz, Julius, et al.
Published: (2024)

Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
by: Anderson, Kathleen, et al.
Published: (2025)

Nearest-Neighbor Density Estimation for Dependency Suppression
by: Anderson, Kathleen, et al.
Published: (2026)

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
by: Zhao, Chenqiu, et al.
Published: (2023)

Feature Visualization in 3D Convolutional Neural Networks
by: Li, Chunpeng, et al.
Published: (2025)

Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
by: Brückner, Benedikt, et al.
Published: (2024)

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

Edge Detectors Can Make Deep Convolutional Neural Networks More Robust
by: Ding, Jin, et al.
Published: (2024)

TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
by: Ntrougkas, Mariano, et al.
Published: (2023)

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation
by: Karkehabadi, Ali, et al.
Published: (2026)

Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysis
by: Xi, Zhenghao, et al.
Published: (2025)

Enhancing Road Safety: Real-Time Detection of Driver Distraction through Convolutional Neural Networks
by: Sheikh, Amaan Aijaz, et al.
Published: (2024)

Offline Writer Identification Using Convolutional Neural Network Activation Features
by: Christlein, Vincent, et al.
Published: (2024)

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
by: Grün, Felix, et al.
Published: (2016)

Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
by: Wu, Cheng-En, et al.
Published: (2023)

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
by: Wu, Fuzhi, et al.
Published: (2024)

Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels
by: Hsing, Chia-Wei, et al.
Published: (2026)

Feature Map Similarity Reduction in Convolutional Neural Networks
by: Belmekki, Zakariae, et al.
Published: (2024)

Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees
by: Srinivas, Maddimsetti, et al.
Published: (2024)

Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
by: Gong, Yunpeng, et al.
Published: (2024)

Towards Generalized Entropic Sparsification for Convolutional Neural Networks
by: Barisin, Tin, et al.
Published: (2024)

The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach
by: Bertoin, David, et al.
Published: (2024)

Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
by: Chhabra, Sachin, et al.
Published: (2025)

Normalized Convolutional Neural Network
by: Kim, Dongsuk, et al.
Published: (2020)

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
by: K., Keshav Kumar, et al.
Published: (2023)

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

ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
by: Dehshibi, Mohammad Mahdi, et al.
Published: (2022)

Enhanced Convolutional Neural Networks for Improved Image Classification
by: Yang, Xiaoran, et al.
Published: (2025)

EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views
by: Yu, Weiqi, et al.
Published: (2026)

Self Expanding Convolutional Neural Networks
by: Appolinary, Blaise, et al.
Published: (2024)

Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
by: Roumeliotis, Konstantinos I., et al.
Published: (2025)

RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
by: Zhang, Xin, et al.
Published: (2023)

Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
by: Francy, Samer, et al.
Published: (2024)

Optimizing Violence Detection in Video Classification Accuracy through 3D Convolutional Neural Networks
by: Kavathia, Aarjav, et al.
Published: (2024)

Physical Rule-Guided Convolutional Neural Network
by: Gupta, Kishor Datta, et al.
Published: (2024)

Distributed Convolutional Neural Networks for Object Recognition
by: Sun, Liang
Published: (2026)

Weed Detection using Convolutional Neural Network
by: Tripathi, Santosh Kumar, et al.
Published: (2025)

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
by: He, Yihui, et al.
Published: (2019)