PCA-Dino and NCA-Dino is development of Dino-ViT

Visual transformer trained on MNIST with 98.40% accuracy. Includes a web-app (Flask backend and React frontend) for testing.

ViT projects.

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

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

Repository containing the files for Project 2 "Towards Improving Handwritten Chess Notation Classification Using Machine Learning Models", course "Machine Learning", Fall 2024, EPFL

Soft-Transformers For Continual Learning

Segmentation d'images aériennes par différents réseaux de neurones.

Deep Leanring + ViT (compared to Unet) on CityScapes

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

Comparing latent space representations using autoencoders and vision transformers using fMRI data.

A comprehensive code for AI & Robotics.

Picture processing with ML - App Prototype

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"

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"

A Robust Approach Towards Distinguishing Natural and Computer Generated Images using Multi-Colorspace fused and Enriched Vision Transformer

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

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