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
Rembg Video Virtual Green Screen Edition
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.
Plugin para ejecutar el modelo de META Segment Anything en QGIS
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