Dazhou's starred repositories

SegPrompt

Official Implementation of ICCV 2023 Paper - SegPrompt: Boosting Open-World Segmentation via Category-level Prompt Learning

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kits21

The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge

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geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

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botorch

Bayesian optimization in PyTorch

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TensorMONK

A collection of deep learning models (PyTorch implemtation)

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medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

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pygcn

Graph Convolutional Networks in PyTorch

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labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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ckb

RGB Driver for Linux and OS X

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Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

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pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

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pytorch-crf

(Linear-chain) Conditional random field in PyTorch.

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crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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pytorch-ewc

Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

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PSPNet-TF-Reproduce

Training PSPNet in Tensorflow. Reproduce the performance from the paper.

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SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

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dla

Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"

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refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

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pytorch-segmentation-detection

Image Segmentation and Object Detection in Pytorch

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drn

Dilated Residual Networks

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