convolution-vision-transformers
sharpened-cosine-similarity
convolution-vision-transformers | sharpened-cosine-similarity | |
---|---|---|
2 | 2 | |
224 | 254 | |
- | 0.8% | |
0.0 | 0.0 | |
over 3 years ago | 10 months ago | |
Python | Python | |
MIT License | MIT License |
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convolution-vision-transformers
- has anyone here implemented Convolutional Vision Transformer (CvT)?
-
CvT: Introducing Convolutions to Vision Transformers
code: https://github.com/rishikksh20/convolution-vision-transformers
sharpened-cosine-similarity
-
Alternatives to Cosine Similarity
Don't forget Sharpened Cosine Similarity[0] which arose from this really interesting twitter thread [1].
[0] https://github.com/brohrer/sharpened-cosine-similarity
[1] https://twitter.com/_brohrer_/status/1232063619657093120
- Sharpened Cosine Distance as an Alternative for Convolutions
What are some alternatives?
EasyCV - An all-in-one toolkit for computer vision
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vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
hub - A library for transfer learning by reusing parts of TensorFlow models.
CvT - This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Convolution-From-Scratch - Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
MLP-Mixer-pytorch - Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
albumentations - Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
SCS-CCT - CCT but using Sharpened Cosine Similarity
classification - Classification of the MNIST dataset using various Deep Learning techniques
sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching