superchong's repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
DenseDescriptorLearning-Pytorch
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Depth-Anything-V2
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
DistDepth
Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)
ECCV2022-Papers-with-Code-Demo
收集 ECCV 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!
ekf-imu-depth
[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
IID-SfmLearner
[JBHI2024] Image Intrinsic-Based Unsupervised Monocular Depth Estimation in Endoscopy
LightGlue
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
medical_dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
MICCAI2022_paper_with_code
MICCAI 2022 Paper with Code
MPS-Net_release
Official implementation of CVPR2022 paper "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video"
Open3D
Open3D: A Modern Library for 3D Data Processing
PETR
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection
pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
ssl-transfer
Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
tesseract
Tesseract Open Source OCR Engine (main repository)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
weakly-polyp
[MICCAI'22] 基于对比学习和视觉Transformer的弱监督视频肠息肉检测Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.