(Pattern Recognition Letters 2023) PyTorch implementation of "Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer"
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Updated
Dec 8, 2023 - Python
(Pattern Recognition Letters 2023) PyTorch implementation of "Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer"
A neural network that can identify 101 different foods from an image. The "Final Model" section contains model weights for EfficientNetB2 + a classifier block that gives a top-1 accuracy of 73.2% and a top-5 accuracy of 91.2%. The models are all trained on the Food101 dataset.
An example of Chainer software that use Food-101 dataset
Food 101 Classification Model
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