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Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle

Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

MedSAM

Segment Anything in Medical Images

spawrious

Track2

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.

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

segment-anything

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.

DeepVolume

[TCybern2019] Brain MRI Super-Resolution based on Thick-Section MR Images from Two Planes.

Differentiable-RandAugment

Optimize RandAugment with differentiable operations

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

copy-paste-aug

Copy-paste augmentation for segmentation and detection tasks

uber

Uber simulation app with Firebase and real-time location on both devices.

pycox

Survival analysis with PyTorch

Zero-Shot-Emotion-Recognition-with-AAE

Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders

MAC-Learning

SMG

SMG source code and dataset

DFMGAN

[AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".

PySODEvalToolkit

PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

DarkLabel

Video/Image Labeling and Annotation Tool

LabelTrack

LabelTrack是一个针对于多目标跟踪的图形化自动标注平台

SODBenchmark

Salient objects in clutter, TPAMI, 2022

DEviS

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

reliability-challenges-uncertainty

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

CARD

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

ITKElastix

An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images

voxelmorph

Unsupervised Learning for Image Registration

USNet

source code of USNet

HAA4D

HAA4D introduces a new 3D+T human skeleton video action dataset and the first few-shot skeleton-based action recognition baseline.