how-do-vits-work
MPViT
how-do-vits-work | MPViT | |
---|---|---|
3 | 1 | |
784 | 340 | |
- | - | |
0.0 | 1.8 | |
almost 2 years ago | about 2 years ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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how-do-vits-work
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A New Deep Learning Study Investigate and Clarify the Intrinsic Behavior of Transformers in Computer Vision
Github: https://github.com/xxxnell/how-do-vits-work
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[D] Paper Explained – How Do Vision Transformers Work?
Code for https://arxiv.org/abs/2202.06709 found: https://github.com/xxxnell/how-do-vits-work
- How Do Vision Transformers Work?
MPViT
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[P] MPViT : Multi-Path Vision Transformer for Dense Prediction
code : https://github.com/youngwanLEE/MPViT
What are some alternatives?
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.
awesome-fast-attention - list of efficient attention modules
Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
vit-explain - Explainability for Vision Transformers
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]
attention_to_gif - Visualize transition of attention weights across layers in a Transformer as a GIF