# szq0214/MEAL-V2

<https://repo.masters-masters.com/en/repos/szq0214/MEAL-V2>

[Home](https://repo.masters-masters.com/en) › [szq0214](https://repo.masters-masters.com/en/owners/szq0214) › [MEAL-V2](https://repo.masters-masters.com/en/repos/szq0214/MEAL-V2)

szq0214/MEAL-V2 has 698 stars on GitHub. Its RepoMasters card: Alpha tier. MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without…

| Field | Value |
| --- | --- |
| Owner | [szq0214](https://repo.masters-masters.com/en/owners/szq0214) |
| Stars | 698 |
| Forks | 70 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | distillation, imagenet, compression-algorithm, mobilenetv3, efficientnet, pre-trained, resnet50, imagenet-dataset, meal, model-architecture |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [szq0214/MEAL-V2](https://github.com/szq0214/MEAL-V2) |

## Repository

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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