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

Official repository for "Self-Supervised Video Transformer" (CVPR'22)

Testing the Moondream tiny vision model

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

SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)

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

This project focuses on evaluating Convolutional Neural Networks (CNN) and Vision Transformers (ViT) for image classification tasks, specifically distinguishing between Asian elephants and African elephants.

Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts (CVPR 2024)

This repository accompanies the article entitled "Automated Classification of Oral Cancer Lesions: Vision Transformer vs Radiomics."

Vision Transfomer for classifying images

Vision Transformers

Implementation of VisionLLaMA from the paper: "VisionLLaMA: A Unified LLaMA Interface for Vision Tasks" in PyTorch and Zeta

iSegFormer: Interactive Image/Volume Segmentation using Vision Transformers (MICCAI 2022)

Deep learning pet breed recognition app

SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices

[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI

Incorporating Convolutions into Vision Transformers on CIFAR-10

OWL-ViT module for Autodistill.

[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang