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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
Official repo for Medical Image Segmentation Review: The Success of U-Net
Meidcal Image Segmentation Pytorch Version
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabilities.
Contextual Attention Network: Transformer Meets U-Net
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.
[PR] How to Reduce Change Detection to Semantic Segmentation
[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"