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update flags to 21K pretraining
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talrid committed May 12, 2021
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[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/tresnet-high-performance-gpu-dedicated/image-classification-on-cifar-10)](https://paperswithcode.com/sota/image-classification-on-cifar-10?p=tresnet-high-performance-gpu-dedicated)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/tresnet-high-performance-gpu-dedicated/image-classification-on-cifar-100)](https://paperswithcode.com/sota/image-classification-on-cifar-100?p=tresnet-high-performance-gpu-dedicated)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/tresnet-high-performance-gpu-dedicated/fine-grained-image-classification-on-stanford)](https://paperswithcode.com/sota/fine-grained-image-classification-on-stanford?p=tresnet-high-performance-gpu-dedicated)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/imagenet-21k-pretraining-for-the-masses/fine-grained-image-classification-on-stanford)](https://paperswithcode.com/sota/fine-grained-image-classification-on-stanford?p=imagenet-21k-pretraining-for-the-masses)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/tresnet-high-performance-gpu-dedicated/fine-grained-image-classification-on-oxford)](https://paperswithcode.com/sota/fine-grained-image-classification-on-oxford?p=tresnet-high-performance-gpu-dedicated)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/asymmetric-loss-for-multi-label/multi-label-classification-on-ms-coco)](https://paperswithcode.com/sota/multi-label-classification-on-ms-coco?p=asymmetric-loss-for-multi-label)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/imagenet-21k-pretraining-for-the-masses/multi-label-classification-on-ms-coco)](https://paperswithcode.com/sota/multi-label-classification-on-ms-coco?p=imagenet-21k-pretraining-for-the-masses)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/asymmetric-loss-for-multi-label/multi-label-classification-on-nus-wide)](https://paperswithcode.com/sota/multi-label-classification-on-nus-wide?p=asymmetric-loss-for-multi-label)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/asymmetric-loss-for-multi-label/multi-label-classification-on-pascal-voc-2007)](https://paperswithcode.com/sota/multi-label-classification-on-pascal-voc-2007?p=asymmetric-loss-for-multi-label)<br>
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/imagenet-21k-pretraining-for-the-masses/multi-label-classification-on-pascal-voc-2007)](https://paperswithcode.com/sota/multi-label-classification-on-pascal-voc-2007?p=imagenet-21k-pretraining-for-the-masses)<br>

[paperV2](https://arxiv.org/pdf/2003.13630.pdf) |
[pretrained models](MODEL_ZOO.md)

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