This is a warehouse for Agent-Attention-Models based on pytorch framework, can be used to train your image datasets.
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Updated
Jan 3, 2024 - Python
This is a warehouse for Agent-Attention-Models based on pytorch framework, can be used to train your image datasets.
This is a warehouse for STL-Pytorch-model, can be used to train your image-datasets for vision tasks.
A transformer model based on sliding kernel self attention mechanism. Swin Transformer's evil twin.
Implementation of a Paper related to Vision Transformer
This is a warehouse for DS-TransUNet-pytorch-model, can be used to train your dataset
A Tensorflow 2.x implementation of focal transformer
A Framework for Real-time Object Detection and Image Restoration
Realisation of Swin Transformer with Semantic Guidance Module for Universty-1652
Swin Transformer implementations for TensorFlow/Keras
Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"
This repository is for MORAI dataset training in 2D object detection with swin-transformer
PyTorch implementation of 'Swin Transformer' (Liu et al., 2021) from scratch.
My notes and implementation of transformer.
Swin transformer for HSI
Implementing a Swin Transformer model in PyTorch on CIFAR-10
🌟 Open-source code from the rank 72 finalists of 2022WBDC
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
CascadeRCNN implementation using PyTorch
An image to text model base on transformer which can also be used on OCR task.
Self-Supervised Learning with Swin UNETR for Segmentation of Organs at Risk and Tumor in PET/CT Images
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