Copertina

Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Babaiee, Zahra, Kiasari, Peyman M., Rus, Daniela, Grosu, Radu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
di: Babaiee, Zahra, et al.
Pubblicazione: (2024)

The Master Key Filters Hypothesis: Deep Filters Are General
di: Babaiee, Zahra, et al.
Pubblicazione: (2024)

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
di: Babaiee, Zahra, et al.
Pubblicazione: (2025)

The Quest for Universal Master Key Filters in DS-CNNs
di: Babaiee, Zahra, et al.
Pubblicazione: (2025)

Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
di: Farsang, Mónika, et al.
Pubblicazione: (2025)

Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis
di: Gutiérrez, Stan Muñoz, et al.
Pubblicazione: (2025)

From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
di: Iannello, Ludovico, et al.
Pubblicazione: (2025)

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions
di: He, Huaxu
Pubblicazione: (2024)

SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance
di: Gücen, Mustafa Bayram
Pubblicazione: (2025)

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
di: Iannello, Ludovico, et al.
Pubblicazione: (2025)

In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
di: Earle, Sam, et al.
Pubblicazione: (2026)

Temporal-adaptive Weight Quantization for Spiking Neural Networks
di: Zhang, Han, et al.
Pubblicazione: (2025)

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
di: Jiang, Runhua, et al.
Pubblicazione: (2024)

MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
di: Wang, Xiaoting, et al.
Pubblicazione: (2023)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
di: Du, Guodong, et al.
Pubblicazione: (2024)

NeuGen: Amplifying the 'Neural' in Neural Radiance Fields for Domain Generalization
di: Qazi, Ahmed, et al.
Pubblicazione: (2025)

CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
di: Song, Zichen, et al.
Pubblicazione: (2024)

DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
di: Kim, Minje, et al.
Pubblicazione: (2025)

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
di: Paek, Dong-Hee, et al.
Pubblicazione: (2025)

Motion Illusions Generated Using Predictive Neural Networks Also Fool Humans
di: Sinapayen, Lana, et al.
Pubblicazione: (2021)

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
di: Li, Haoyu, et al.
Pubblicazione: (2024)

SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
di: Wang, Haiyang, et al.
Pubblicazione: (2024)

Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
di: Nhan, Luu Trong, et al.
Pubblicazione: (2025)

Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
di: Meem, Anika Tabassum, et al.
Pubblicazione: (2026)

XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
di: Wu, Jianfang, et al.
Pubblicazione: (2026)

SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
di: Yao, Xingting, et al.
Pubblicazione: (2023)

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
di: Wang, Ziming, et al.
Pubblicazione: (2024)

Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models
di: Farsang, Mónika, et al.
Pubblicazione: (2026)

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
di: Altarabichi, Mohammed Ghaith, et al.
Pubblicazione: (2024)

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
di: Wang, Xiao, et al.
Pubblicazione: (2024)

EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
di: Preintner, Tobias, et al.
Pubblicazione: (2025)

Elastic Spiking Transformers for Efficient Gesture Understanding
di: Ancilotto, Alberto, et al.
Pubblicazione: (2026)

Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
di: Lapid, Raz, et al.
Pubblicazione: (2023)

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
di: Tang, Chuanming, et al.
Pubblicazione: (2022)

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition
di: Xia, Yizhang, et al.
Pubblicazione: (2024)

VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
di: Chen, Lan, et al.
Pubblicazione: (2024)

Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
di: Luu, Nhan T., et al.
Pubblicazione: (2025)

Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset
di: Wang, Xiao, et al.
Pubblicazione: (2024)

VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models
di: Wu, Wentao, et al.
Pubblicazione: (2024)

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
di: Hao, Zecheng, et al.
Pubblicazione: (2024)