yanchaoz

CC4S

CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation

SparseCNN

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

sparsevit

[CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

hiera

Hiera: A fast, powerful, and simple hierarchical vision transformer.

segment-anything-2

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 the model.

dinov2

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

AnatoMask

[ECCV2024] AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking. Official Pytorch Implementation of AnatoMask.

MambaVision

Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

SwinSMT

Code snippets for "Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation"

NeRF-MAE

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

CropMAE

[ECCV 2024] PyTorch implementation of CropMAE, introduced in "Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders"

Awesome-Mamba-in-Vision

List of papers related to State Space Models (Mamba) in Vision.

STU-Net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

MAESTER

Masked Autoencoder Guided Segmentation at Pixel Resolution

Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

CellSeg3D

A napari plugin for direct 3D cell segmentation -- taking you through training, inference, and review of masks

UnSAM

Code release for "Segment Anything without Supervision"

Self-supervised-Fewshot-Medical-Image-Segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

MemSAM

[CVPR 2024 Oral] MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation.

maes_microscopy

Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

SelfMedMAE

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

SegNeuron

cellmap-models

Repository of model architectures and network weights used for CellMap segmentations.

CAE

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

A2MIM

[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

DL4MicEverywhere

Bringing the ZeroCostDL4Mic experience running everywhere via easy-to-install docker images

PRISM

[MICCAI 2024 Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts