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PyTorch models for imagenet classification

License: MIT License

Python 100.00%

pytorch_imagenet's Introduction

PyTorch models for imagenet classification.
These models can be utilized as pre-training models for other computer vision tasks.

Model	Top-1 error (%)	Top-5 error (%)	Links	Notes
PVANet	26.92	8.84	Model download / Acc. plot / Loss plot	600 epochs

PVANet: Lightweight Deep Neural Networks for Real-time Object Detection (https://arxiv.org/abs/1611.08588)

opencvfun baiyancheng20 chituma110 benjamesbabala mkhoin bhargavaurala shubhampachori12110095 syshensyshen cjnjuwhy kleinxin xiaoyazhu kgaurav3838 hhwer jigmetoby

I am trying to do evaluation on image net for your model. Do you have code for that? or do you use the default pytorch code: https://github.com/pytorch/examples/tree/master/imagenet?

Hi, Thanks for the project. But url for pretrained model is unavailable, could you check it ?

Maybe the transform.centercrop(224) should be remove when MultiCropEnsemble is chosen to use.

Hi,

the last convolution network has 384 channels, how to finetune for 512 channels as in the papers?

When I downloaded the model, it could not unrar. Could you kindly please upload a new one? Many thanks.

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