This code is a PyTorch implementation of the paper:
Python 3.6.9
PyTorch 1.7.1
Torchvision 0.8.2
Full list in ./requirements.txt
Datasets will be downloaded to ./data/.
On CIFAR-10 .
sh ./test_c10_instance.sh
On CIFAR-100
sh ./test_c100_instance.sh
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Distilling-the-knowledge-in-neural-network Teaches a student network from the knowledge obtained via training of a larger teacher network This is an i
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CLIP (Contrastive Language–Image Pre-training) Experiments (Evaluation) Model Dataset Acc (%) ViT-B/32 (Paper) CIFAR100 65.1 ViT-B/32 (Our) CIFAR100 6
About This repository provides data and code for the paper: Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development (subm
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