The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

PyTorch code and models for the DINOv2 self-supervised learning method.

Reference PyTorch implementation and models for DINOv3

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

Segment Anything in Medical Images

Official repository of 'Visual-RFT: Visual Reinforcement Fine-Tuning' & 'Visual-ARFT: Visual Agentic Reinforcement Fine-Tuning'’

State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

[NeurIPS 2024] Code release for "Segment Anything without Supervision"

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

[CVPR'W19-Oral] Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images"

[NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures

Code for training and testing deep learning based land cover models.