Starred repositories
[AAAI 2025] Open-source, End-to-end, Medical Image Segmentation model by Task allociation.
This repo is the official implementation of 'Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation' which is an improved journal version of UC…
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)
This is an FTP client written in Qt(QSS) and C++
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Another implementation of topological loss
Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
[TPAMI 2024] Official PyTorch implementation of A Diffusion Model Translator for Efficient Image-to-Image Translation
DMT codes for the ICLR 2021 paper: Topology-Aware Segmentation Using Discrete Morse Theory
This Repository is implementation of majority of Semantic Segmentation Loss Functions
My own implementation for some sort of loss functions that have been used for segmentation task.
Source code for the paper "Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation" as described in https://arxiv.org/abs/1908.05099
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A collection of loss functions for medical image segmentation
✈✈✈飞机大战游戏Airplane war game，python项目_飞机大战(爆炸效果,血条,音效,buff加成,boss,菜单,完整详细注释的源码)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Pytorch Implementation of "Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation" paper on cityscapes dataset