Pinned Repositories
-surgical-planning-using-graph-CNN-with-dual-embedding-module
albumentations
fast image augmentation library and easy to use wrapper around other libraries
Algorithm
Awesome-Skeleton-based-Action-Recognition
Skeleton-based Action Recognition
Cats_vs_Dogs_Data_grad_cam
Classification_DenseNet
Classification_EfficientNet
classification_models
Classification models trained on ImageNet. Keras.
Classification_ResNet
CNN_models
Kim-Junsik's Repositories
Kim-Junsik/CNN_models
Kim-Junsik/-surgical-planning-using-graph-CNN-with-dual-embedding-module
Kim-Junsik/Algorithm
Kim-Junsik/Awesome-Skeleton-based-Action-Recognition
Skeleton-based Action Recognition
Kim-Junsik/Cats_vs_Dogs_Data_grad_cam
Kim-Junsik/Classification_DenseNet
Kim-Junsik/Classification_EfficientNet
Kim-Junsik/Data_structure_review
Kim-Junsik/Deep-Video-Inpainting
Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)
Kim-Junsik/Deep_Learning_Basics
Kim-Junsik/gradcam_plus_plus-pytorch
A Simple pytorch implementation of GradCAM and GradCAM++
Kim-Junsik/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Kim-Junsik/graph-neural-networks-for-graph-classification
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
Kim-Junsik/image_convert
Kim-Junsik/kaggle_plant_pathology2020
Kim-Junsik/keras-maskrcnn
Keras implementation of MaskRCNN object detection.
Kim-Junsik/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Kim-Junsik/Latent-Diffusion
Kim-Junsik/MWCNNv2
Multi-level Wavelet Convolutional Neural Networks
Kim-Junsik/opencv_practice
Kim-Junsik/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
Kim-Junsik/pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Kim-Junsik/SegLoss
A collection of loss functions for medical image segmentation
Kim-Junsik/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Kim-Junsik/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Kim-Junsik/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Kim-Junsik/Strictly-Chest-X-ray-Normal-Network
Kim-Junsik/STTN
[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
Kim-Junsik/tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Kim-Junsik/TensorFlow2.0_ResNet
A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.