Versatile, full‐spectrum, and swift network sampling for model generation-Reference-Cited by-同舟云学术

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Versatile, full‐spectrum, and swift network sampling for model generation

Published:2022-09 Issue: Volume:129 Page:108729
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Huanyu^ORCID,Zhang Yongshun^ORCID,Wu Jianxin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

1. ProxylessNAS: Direct neural architecture search on target task and hardware;Cai,2019

2. ThiNet: Pruning CNN filters for a thinner net;Luo;IEEE Trans. Pattern Anal. Mach. Intell. TPAMI,2019

3. Deep residual learning for image recognition;He,2016

4. MobileNetV2: Inverted residuals and linear bottlenecks;Sandler,2018

5. Network pruning via transformable architecture search;Dong,2019

Cited by 2 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. Prioritized Subnet Sampling for Resource-Adaptive Supernet Training;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-09-01

2. How to Reduce Change Detection to Semantic Segmentation;Pattern Recognition;2023-06

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