An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Summary of Transformer applications for computer vision tasks.

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.

Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

A comprehensive paper list of Transformer & Attention for Vision Recognition / Foundation Model, including papers, codes, and related websites.

This repository contains the source code for the implementation of two deep learning models concerning the audio super resolution task.

Team "team-name" solution for Weather4cast Challenge

Image-Scene-Classification with 30 different classes.

Swin backbone for UNet network for semantic segmentation

Soft-Transformers For Continual Learning

Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.

This repository contains the code related to the paper "Stop overkilling simple tasks with black-box models, use more transparent models instead"

ViT projects.

A comprehensive code for AI & Robotics.

Detect skull fractures from computer tomography images.

Implementation of Visual Attention (ViT) for Image Classification using pytorch

Improvement upon the architecture from "ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer"

ThermaInsights fork of Meta and WRI canopy height for working with aerial imagery