The efficient 360 framework is a collection of transformer models in various dimensions.
State of the Art results of various vision transformer models on ImageNet-1K dataset with Image size 224 x 224.
State of the Art results of various vision transformer models on ImageNet-1K dataset with different Image sizes.
State of the Art results of various vision transformer models on ImageNet-22K dataset with different Image sizes.
State of the Art results of various Spectral Vision Transformer models on ImageNet-1K dataset with different Image sizes.
Transfer Learning results of various datasets like CIFAR10, CIFAR100, Pet, Flower, and Cars datasets, The models are pre-trained on ImageNet-1K and ImageNet-22K datasets.
@article{efficient3602023,
title={Efficient360: Efficient Vision Transformer},
author={Patro, Badri N. and Agneeswaran Vijay S. },
journal={arXiv preprint arXiv:2302.08374},
year={2023}
}
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