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Explainable AI Using Generative Adversarial Networks

Vim

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

VMamba

VMamba: Visual State Space Models，code is based on mamba

mamba

Mamba SSM architecture

UniverSeg

UniverSeg: Universal Medical Image Segmentation

Oriented1D

Official code for ICCV 2023 paper "Convolutional Networks with Oriented 1D Kernels"

PointRend-PyTorch

A PyTorch implementation of PointRend: Image Segmentation as Rendering

WarpFormer-Official

H-Deformable-DETR

[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

FastInst

[CVPR2023] FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation

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.

SparseInst

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

pix2pix3D

pix2pix3D: Generating 3D Objects from 2D User Inputs

BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

weighted-distance-transform

Python module for computing the weighted distance transform of an image

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

ConvNeXt-V2

Code release for ConvNeXt V2 model

DAEFormer

[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

unetr_plus_plus

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

BCNet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

daam

Diffusion attentive attribution maps for interpreting Stable Diffusion.

InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Partial_Distance_Correlation

This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022

TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

openmixup

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

HiFuse

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

centerformer

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)