codevisioner

SagNet

Reducing Domain Gap by Reducing Style Bias (SagNets)

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-domain-adaptation-object-detection

A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

Awesome-Medical-Dataset

Collection of awesome medical dataset resources.

CenterTrack

Simultaneous object detection and tracking using center points.

Classification-SIFT-SVM

Build a classifier to classsification transport using sift and svm

CVPR-2023-Papers

DA_detection

Progressive Domain Adaptation for Object Detection

codevisioner/Awesome-Medical-Dataset

Collection of awesome medical dataset resources.

codevisioner/CVPR-2023-Papers

codevisioner/DeepOD

Deep learning-based outlier/anomaly detection

codevisioner/DeepSeeNet

:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

codevisioner/Domain-generalization

All about domain generalization

codevisioner/DSMRI

Domain Shift analyzer for MRI

codevisioner/ECE407_MNIST-Handwritten-Digits-Recognition

MNIST Handwritten Digits Recognition using PyTorch

codevisioner/ECE515_LaTeX-Code-for-Handwritten-Mathematical-Equations

Generating LaTeX Code for Handwritten Mathematical Equations based on CNN

codevisioner/edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

codevisioner/fine-tune-object-detector

A step-by-step PyTorch guide for improved vehicle type 2D object detection based on Faster-RCNN using transfer learning and data augmentation.

codevisioner/glaucoma-dataset-metadata

Actively maintained and comprehensive public glaucoma dataset catalog

codevisioner/jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

codevisioner/JEPA_CS518

codevisioner/learnopencv

Learn OpenCV : C++ and Python Examples

codevisioner/mean-teacher-ssl

Semi supervised learning for semantic image segmentation

codevisioner/MedSAM

Segment Anything in Medical Images

codevisioner/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

codevisioner/pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

codevisioner/Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

codevisioner/RETFound_MAE

RETFound - A foundation model for retinal image

codevisioner/SQUID

[CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

codevisioner/surgical_classification

surgical skill level classification

codevisioner/SynFundus-1M

SynFundus-1M is a synthetic fundus image dataset consisting of millions of images and extensive annotations that can help improve the performance of diagnostic models.

codevisioner/transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

codevisioner/UDA_Med_Landmark

codevisioner/umap

Uniform Manifold Approximation and Projection

codevisioner/VFTransformer

codevisioner/vision

Datasets, Transforms and Models specific to Computer Vision

codevisioner/WinClip

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

codevisioner/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite