Imagen de Portada

Saliency Assisted Quantization for Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rezabeyk, Elmira Mousa, Beigzad, Salar, Hamzavi, Yasin, Bagheritabar, Mohsen, Mirikhoozani, Seyedeh Sogol
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
por: Maleki, Alireza, et al.
Publicado: (2024)

NetworkFF: Unified Layer Optimization in Forward-Only Neural Networks
por: Beigzad, Salar
Publicado: (2025)

Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
por: Ye, Zhuorui, et al.
Publicado: (2024)

Q-SENN: Quantized Self-Explaining Neural Networks
por: Norrenbrock, Thomas, et al.
Publicado: (2023)

Progressive Element-wise Gradient Estimation for Neural Network Quantization
por: Zhao, Kaiqi
Publicado: (2025)

DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
por: Hu, Wenhao, et al.
Publicado: (2024)

Saliency-Aware Model Merging
por: Park, Jungin, et al.
Publicado: (2026)

Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects
por: Jiang, Xiaoheng, et al.
Publicado: (2024)

Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
por: Zheng, Xiangyu, et al.
Publicado: (2025)

Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
por: Shang, Sifeng, et al.
Publicado: (2025)

SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection
por: Qi, Ruo, et al.
Publicado: (2026)

Advancing Weight and Channel Sparsification with Enhanced Saliency
por: Sun, Xinglong, et al.
Publicado: (2025)

RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions
por: Chen, Guixian, et al.
Publicado: (2025)

Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
por: Bablani, Deepika, et al.
Publicado: (2023)

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
por: Gafni, Tomer, et al.
Publicado: (2025)

Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation
por: Schwenke, Leonid, et al.
Publicado: (2024)

SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
por: Park, Sanglee, et al.
Publicado: (2024)

AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps
por: Hsieh, Chia-Ying, et al.
Publicado: (2026)

Raising the Ceiling: Better Empirical Fixation Densities for Saliency Benchmarking
por: Agrawal, Susmit, et al.
Publicado: (2026)

Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers
por: Mumcu, Furkan, et al.
Publicado: (2025)

Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation
por: Zheng, Shen, et al.
Publicado: (2024)

Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency
por: Chen, Junhao, et al.
Publicado: (2024)

Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention
por: Delibasoglu, Ibrahim, et al.
Publicado: (2025)

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets
por: Gu, Xulin, et al.
Publicado: (2025)

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks
por: Piland, Jacob, et al.
Publicado: (2025)

SpaNN: Detecting Multiple Adversarial Patches on CNNs by Spanning Saliency Thresholds
por: Victorica, Mauricio Byrd, et al.
Publicado: (2025)

SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
por: Termritthikun, Chakkrit, et al.
Publicado: (2024)

Modeling Saliency Dataset Bias
por: Kümmerer, Matthias, et al.
Publicado: (2025)

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
por: Wang, Zedong, et al.
Publicado: (2025)

Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
por: Tokunaga, Hiroyuki, et al.
Publicado: (2024)

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
por: Qu, Xiaoyi, et al.
Publicado: (2025)

Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
por: Lu, Yao, et al.
Publicado: (2024)

Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness
por: Tang, Jiaqi, et al.
Publicado: (2025)

A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
por: Palit, Sanchar, et al.
Publicado: (2023)

Out-of-distribution detection using normalizing flows on the data manifold
por: Razavi, Seyedeh Fatemeh, et al.
Publicado: (2023)

Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
por: Singhal, Rishi, et al.
Publicado: (2024)

EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization
por: Gordon, Ofir, et al.
Publicado: (2023)

VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization
por: Zhong, Hongliang, et al.
Publicado: (2023)

Masked Vector Quantization
por: Nguyen, David D., et al.
Publicado: (2023)

Neural Network Diffusion
por: Wang, Kai, et al.
Publicado: (2024)