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1,460 claims from 908 papers are on the record. 46 have been checked so far; the other 1,414 have no check with a result yet.

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Keyword: network compression ×Clear all

5 claims from 4 papers

1. Computer Science › Advanced Neural Network Applications

   Efficient Layer Compression Without Pruning

   Wu, Zhu, Fang, Deng and Zhong · IEEE Transactions on Image Processing · 2023

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   1. Unchecked“Experimental results conducted on two datasets demonstrate that our method retains superior performance with a FLOPs reduction of 74.1% for VGG-16 and 54.6% for ResNet-56, respectively.”
   2. Unchecked“In addition, our ELC improves the inference speed by 2× on Jetson AGX Xavier edge device.”

2. Computer Science › Advanced Neural Network Applications

   Convolutional Neural Network Pruning with Structural Redundancy Reduction

   Wang, Li and Wang · arXiv (Cornell University) · 2021

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   1. Unchecked“We first statistically model the network pruning problem in a redundancy reduction perspective and find that pruning in the layer(s) with the most structural redundancy outperforms pruning the least important filters across all layers.”

3. Computer Science › Advanced Neural Network Applications

   A Comprehensive Overhaul of Feature Distillation

   Heo, Kim, Yun, Park, Kwak and Choi · arXiv (Cornell University) · 2019

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   1. Unchecked“In ImageNet, our proposed method achieves 21.65% of top-1 error with ResNet50, which outperforms the performance of the teacher network, ResNet152.”

4. Computer Science › Advanced Neural Network Applications

   PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator

   Wang, Xie, Liu, Zhang and Cheng · arXiv (Cornell University) · 2024

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   1. Unchecked“For example, under 300M FLOPs constraint, our pruned MobileNetV2 achieves 75.2% Top-1 accuracy on ImageNet dataset, exceeding the original MobileNetV2 by 2.6 units while only cost 30%/16% times than BCNet/AutoAlim.”