ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting-Reference-Cited by-同舟云学术

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Ding Xiaohan¹,Hao Tianxiang¹,Tan Jianchao²,Liu Ji²,Han Jungong³,Guo Yuchen¹,Ding Guiguang¹

Affiliation:

1. Beijing National Research Center for Information Science and Technology (BNRist)

2. Kwai Inc,Seattle AI Lab, and FeDA Lab,AI Platform Department

3. Aberystwyth University,Computer Science Department,SY23 3FL,UK

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710406.pdf?arnumber=9710406

Reference69 articles.

1. Sparse convolutional neural networks;liu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

2. Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

3. Learning multiple layers of features from tiny images;krizhevsky,2009

4. Geometry-Aware Distillation for Indoor Semantic Segmentation

5. Batch normalization: Accelerating deep network training by reducing internal co-variate shift;ioffe;International Conference on Machine Learning,2015

Cited by 115 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient and lightweight layer-wise in-situ defect detection in laser powder bed fusion via knowledge distillation and structural re-parameterization;Expert Systems with Applications;2024-12

2. Review of neural network model acceleration techniques based on FPGA platforms;Neurocomputing;2024-12

3. A theoretical and empirical exploration of TileTrans for effective tile pruning;Knowledge-Based Systems;2024-10

4. Computer Vision Model Compression Techniques for Embedded Systems:A Survey;Computers & Graphics;2024-10

5. Efficient tensor decomposition-based filter pruning;Neural Networks;2024-10