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mideepseg

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

model-explorer

A modern model graph visualizer and debugger

monai

AI Toolkit for Healthcare Imaging

motiongrouping

Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.

motsynth-baselines

Baselines and setup instructions for the MOTSynth dataset (ICCV 2021)

mpvss

Mask Propagation for Efficient Video Semantic Segmentation

multi-task-transformer

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

mvss-baseline

Baseline Code for CVPR 2023 paper. "Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline".

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

oclr_model

[NeurIPS 2022] Segmenting Moving Objects via an Object-Centric Representation. Junyu Xie, Weidi Xie, Andrew Zisserman.

oneformer

OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

openseed

[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

paella

Official Implementation of Paella https://arxiv.org/abs/2211.07292v2

phd_seismicprocessingscript

phd_seismicvisualizationscript

pspnet

Semantic Segmentation in Pytorch

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorch-mask-rcnn

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

rabit

realflow

The official implementation of the ECCV 2022 Oral paper: RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos