vision-transformers

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A collection of resources on applications of Transformers in Medical Imaging.

🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

An unofficial implementation of ViTPose [Y. Xu et al., 2022]

[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Library - Vanilla, ViT, DeiT, BERT, GPT

[ECCV 2022] "PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation"

Recent Advances on Efficient Vision Transformers

This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.