Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
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Nov 9, 2026 - Python
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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
computer-vision models image-processing transformers pytorch imagenet segmentation image-segmentation unet dpt semantic-segmentation pretrained-weights pspnet fpn deeplabv3 unet-pytorch deeplab-v3-plus segmentation-models unetplusplus segformer
๐๐๐ Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation ๐๐๐
computer-vision deep-learning pytorch image-classification food-classification object-detection semantic-segmentation efficientnet unetplusplus yolov5 food-analysis food-detection food-segmentation yolov8
keras implementation of unet plus plus
๐ฅ ๅปๅญฆๅพๅไฝไธ๏ผๅพๅ้ ๅ่ฎบๆ้ ่ฏป๏ผ็ผๅบ่ก็ฎกๅๅฒๅฎ้ช
Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.
deep-learning pytorch segmentation unet medical-image-segmentation efficientnet unetplusplus efficientunetplusplus
Hierarchical probabilistic 3D U-Net, with attention mechanisms (โ๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ ๐-๐๐ฆ๐ต, ๐๐๐๐ฆ๐ด๐๐ฆ๐ต) and a nested decoder structure with deep supervision (โ๐๐๐ฆ๐ต++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
mri-images computer-aided-detection attention-mechanisms prostate-cancer computer-aided-diagnosis seresnet tensorflow-keras unetplusplus attention-unet probabilistic-unet
Clean Implementation of Unet3+ and validation on Cityscapes dataset.
opencv computer-vision deep-learning tensorflow image-recognition image-segmentation unet low-level-programming unetplusplus unet3plus unet3
Logiciel de dรฉtection, localisation & segmentation de carries sur des radiographies dentaires.
radio semantic image university tensorflow numpy keras pandas health segmentation decay unet xray dental bordeaux chu radiography tooth unetplusplus caries
PyTorch implementation of medical semantic segmentations models, e.g. UNet, UNet++, DUCKNet, ResUNet, ResUNet++, and support knowledge distillation, distributed training, Optuna etc.
pytorch unet knowledge-distillation distributed-training medical-image-segmentation optuna resunet unetplusplus polyp-segmentation
Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165
image-processing cnn healthcare segmentation unet biomedical biomedical-image-processing unet-image-segmentation unet-segmentation unetplusplus braintumorsegmentation
UNet++, UNet, SegNet and DeepLabv3 implemented in Keras for MoNuSeg dataset
computer-vision deep-learning neural-network unet segnet semantic-segmentation keras-tensorflow deeplabv3 unetplusplus monuseg
3D car detection competition on Kaggle : https://www.kaggle.com/c/pku-autonomous-driving/overview
An open-source UNet-based pipeline for nuclei segmentation in histopathology images using the PanNuke dataset. It features an interactive web app for easy data visualization and handling, making AI tools accessible even for non-experts. This project provides a foundation for training and exploring histopathology data.
python machine-learning deep-learning pytorch segmentation unet semantic-segmentation resnet-50 unet-pytorch unet-image-segmentation deeplab-v3-plus histopathology unet-segmentation resunet unetplusplus histopathology-image-analysis deeplab-v3-plus-pytorch
Implementation of UNET++ for CAC Scoring using Tensorflow
Model for Doctor's Cyclop Project at FPT Edu Hackathon 2021
[๐ฅ 3rd place] AI-powered web application able to track changes in the urban landscape
flask machine-learning vuejs pytorch webapp image-recognition object-detection image-segmentation hackathon-project unet-image-segmentation unetplusplus ml-web-app junctionx junctionx-seoul hackathon-2021
This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.
deployment image-classification image-segmentation flask-api imbalanced-data chest-xray unet-keras pneumothorax lungs unetplusplus chexnet-model train-rle doubleunet
UNet and UNet++ implemented in Tensorflow
Architecture implemntation of various Unet models with pre-trained backbones, UNet++ model with pretrained backbone on Medical dataset
Brain MRI segmentation using segmentation models
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