Convolutional Neural Network Compression Based on Low-Rank Decomposition
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yaping, Jiang, Linhao, Wu, Di |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
by: Kalle, Alper, et al.
Published: (2025)
by: Kalle, Alper, et al.
Published: (2025)
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
by: He, Yihui, et al.
Published: (2019)
by: He, Yihui, et al.
Published: (2019)
LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
by: Shanableh, Tamer
Published: (2026)
by: Shanableh, Tamer
Published: (2026)
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
by: Sharma, Manish, et al.
Published: (2024)
by: Sharma, Manish, et al.
Published: (2024)
LRDUN: A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive Imaging
by: Huang, He, et al.
Published: (2025)
by: Huang, He, et al.
Published: (2025)
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks
by: Sui, Yang, et al.
Published: (2024)
by: Sui, Yang, et al.
Published: (2024)
Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization
by: Zhao, Yumiao, et al.
Published: (2026)
by: Zhao, Yumiao, et al.
Published: (2026)
Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection
by: Aghababaei-Harandi, Ali, et al.
Published: (2024)
by: Aghababaei-Harandi, Ali, et al.
Published: (2024)
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
by: Wu, Fuzhi, et al.
Published: (2024)
by: Wu, Fuzhi, et al.
Published: (2024)
Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks
by: Liao, Guibiao, et al.
Published: (2024)
by: Liao, Guibiao, et al.
Published: (2024)
Low-Rank Knowledge Decomposition for Medical Foundation Models
by: Zhou, Yuhang, et al.
Published: (2024)
by: Zhou, Yuhang, et al.
Published: (2024)
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection
by: Chen, Zhonglin, et al.
Published: (2024)
by: Chen, Zhonglin, et al.
Published: (2024)
Image Compression Using Singular Value Decomposition
by: Jiang, Justin
Published: (2025)
by: Jiang, Justin
Published: (2025)
Defective Convolutional Networks
by: Luo, Tiange, et al.
Published: (2019)
by: Luo, Tiange, et al.
Published: (2019)
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
by: Gong, Yunpeng, et al.
Published: (2024)
by: Gong, Yunpeng, et al.
Published: (2024)
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning
by: Shi, Yiming, et al.
Published: (2024)
by: Shi, Yiming, et al.
Published: (2024)
Vision Graph Prompting via Semantic Low-Rank Decomposition
by: Ai, Zixiang, et al.
Published: (2025)
by: Ai, Zixiang, et al.
Published: (2025)
Object Detection Based on Distributed Convolutional Neural Networks
by: Sun, Liang
Published: (2026)
by: Sun, Liang
Published: (2026)
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
by: Xiao, Jinqi, et al.
Published: (2023)
by: Xiao, Jinqi, et al.
Published: (2023)
LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting
by: Su, Yuchen, et al.
Published: (2025)
by: Su, Yuchen, et al.
Published: (2025)
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
by: Li, Haolin, et al.
Published: (2024)
by: Li, Haolin, et al.
Published: (2024)
A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
by: Pan, Haodong, et al.
Published: (2025)
by: Pan, Haodong, et al.
Published: (2025)
Normalized Convolutional Neural Network
by: Kim, Dongsuk, et al.
Published: (2020)
by: Kim, Dongsuk, et al.
Published: (2020)
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
by: Wu, Cheng-En, et al.
Published: (2023)
by: Wu, Cheng-En, et al.
Published: (2023)
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution
by: Chai, Xinning, et al.
Published: (2025)
by: Chai, Xinning, et al.
Published: (2025)
Joint Multi-scale Gated Transformer and Prior-guided Convolutional Network for Learned Image Compression
by: Chen, Zhengxin, et al.
Published: (2025)
by: Chen, Zhengxin, et al.
Published: (2025)
1LoRA: Summation Compression for Very Low-Rank Adaptation
by: Quercia, Alessio, et al.
Published: (2025)
by: Quercia, Alessio, et al.
Published: (2025)
A Convolutional Neural Deferred Shader for Physics Based Rendering
by: He, Zhuo, et al.
Published: (2025)
by: He, Zhuo, et al.
Published: (2025)
Self Expanding Convolutional Neural Networks
by: Appolinary, Blaise, et al.
Published: (2024)
by: Appolinary, Blaise, et al.
Published: (2024)
RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
by: Zhang, Xin, et al.
Published: (2023)
by: Zhang, Xin, et al.
Published: (2023)
Adaptive Learned Image Compression with Graph Neural Networks
by: Chen, Yunuo, et al.
Published: (2026)
by: Chen, Yunuo, et al.
Published: (2026)
Expanding the Content-Style Frontier: a Balanced Subspace Blending Approach for Content-Style LoRA Fusion
by: Huang, Linhao
Published: (2025)
by: Huang, Linhao
Published: (2025)
Spectral Compressive Imaging via Chromaticity-Intensity Decomposition
by: Wang, Xiaodong, et al.
Published: (2025)
by: Wang, Xiaodong, et al.
Published: (2025)
Self-Parameterization Based Multi-Resolution Mesh Convolution Networks
by: Hezi, Shi, et al.
Published: (2024)
by: Hezi, Shi, et al.
Published: (2024)
A Fusion Model for Artwork Identification Based on Convolutional Neural Networks and Transformers
by: Wang, Zhenyu, et al.
Published: (2025)
by: Wang, Zhenyu, et al.
Published: (2025)
EdgeLDR: Quaternion Low-Displacement Rank Neural Networks for Edge-Efficient Deep Learning
by: Frants, Vladimir, et al.
Published: (2026)
by: Frants, Vladimir, et al.
Published: (2026)
Physical Rule-Guided Convolutional Neural Network
by: Gupta, Kishor Datta, et al.
Published: (2024)
by: Gupta, Kishor Datta, et al.
Published: (2024)
Distributed Convolutional Neural Networks for Object Recognition
by: Sun, Liang
Published: (2026)
by: Sun, Liang
Published: (2026)
Weed Detection using Convolutional Neural Network
by: Tripathi, Santosh Kumar, et al.
Published: (2025)
by: Tripathi, Santosh Kumar, et al.
Published: (2025)
A Robust Low-Rank Prior Model for Structured Cartoon-Texture Image Decomposition with Heavy-Tailed Noise
by: Tang, Weihao, et al.
Published: (2026)
by: Tang, Weihao, et al.
Published: (2026)
Similar Items
-
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
by: Kalle, Alper, et al.
Published: (2025) -
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
by: He, Yihui, et al.
Published: (2019) -
LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
by: Shanableh, Tamer
Published: (2026) -
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
by: Sharma, Manish, et al.
Published: (2024) -
LRDUN: A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive Imaging
by: Huang, He, et al.
Published: (2025)