Image de couverture de livre

A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Fuhl, Wolfgang
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction
par: Fuhl, Wolfgang
Publié: (2024)

Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
par: Wölflein, Georg, et autres
Publié: (2023)

EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns
par: Yu, Zhuohang, et autres
Publié: (2024)

DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
par: Bandara, Wele Gedara Chaminda, et autres
Publié: (2022)

Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs
par: Dai, Dingyi, et autres
Publié: (2024)

Impact of Design Decisions in Scanpath Modeling
par: Emami, Parvin, et autres
Publié: (2024)

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor
par: Agarwal, Vatsal, et autres
Publié: (2025)

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
par: Hu, Xuran, et autres
Publié: (2024)

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
par: Maleki, Alireza, et autres
Publié: (2024)

Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification
par: Cheng, Yinzhu
Publié: (2024)

OceanSAR-2: A Universal Feature Extractor for SAR Ocean Observation
par: Tuel, Alexandre, et autres
Publié: (2026)

Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
par: Huang, Zexian, et autres
Publié: (2024)

Hybrid Deep Feature Extraction and ML for Construction and Demolition Debris Classification
par: Alashram, Obai, et autres
Publié: (2026)

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
par: Wang, Bin, et autres
Publié: (2022)

An Adaptive Tangent Feature Perspective of Neural Networks
par: LeJeune, Daniel, et autres
Publié: (2023)

Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
par: Czerkawski, Mikolaj, et autres
Publié: (2024)

Deep Convolutional Neural Networks for Palm Fruit Maturity Classification
par: Han, Mingqiang, et autres
Publié: (2025)

A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases
par: Saleem, Sajjad, et autres
Publié: (2025)

Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
par: Jin, Yinzhu, et autres
Publié: (2024)

TrAct: Making First-layer Pre-Activations Trainable
par: Petersen, Felix, et autres
Publié: (2024)

Dual Precision Deep Neural Network
par: Park, Jae Hyun, et autres
Publié: (2020)

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

FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
par: Sengupta, Prajit, et autres
Publié: (2025)

Tensor Decomposition Based Attention Module for Spiking Neural Networks
par: Deng, Haoyu, et autres
Publié: (2023)

A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
par: Peleska, Jan, et autres
Publié: (2023)

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
par: Yamaguchi, Shin'ya, et autres
Publié: (2024)

Compositional Curvature Bounds for Deep Neural Networks
par: Entesari, Taha, et autres
Publié: (2024)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
par: Pham, Cuong, et autres
Publié: (2024)

Hybrid Topological and Deep Feature Fusion for Accurate MRI-Based Alzheimer's Disease Severity Classification
par: Ahmed, Faisal
Publié: (2026)

DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
par: Hu, Wenhao, et autres
Publié: (2024)

A Multi-Task Deep Learning Framework for Skin Lesion Classification, ABCDE Feature Quantification, and Evolution Simulation
par: Kotla, Harsha, et autres
Publié: (2025)

Hybrid Spiking Neural Network -- Transformer Video Classification Model
par: Bateni, Aaron
Publié: (2024)

SIC: Similarity-Based Interpretable Image Classification with Neural Networks
par: Wolf, Tom Nuno, et autres
Publié: (2025)

A Benchmark Study of Neural Network Compression Methods for Hyperspectral Image Classification
par: Shi, Sai
Publié: (2026)

A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification
par: Li, Yangyang, et autres
Publié: (2025)

Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks
par: Wolf-Monheim, Friedrich
Publié: (2024)

Edge Attention Module for Object Classification
par: Roy, Santanu, et autres
Publié: (2025)

An Explainable Fast Deep Neural Network for Emotion Recognition
par: Di Luzio, Francesco, et autres
Publié: (2024)

Calibrating Deep Neural Network using Euclidean Distance
par: Liang, Wenhao, et autres
Publié: (2024)

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
par: Feifel, Patrick, et autres
Publié: (2025)