<Yun>'s repositories
SelfReformer
[TMM-2023] Official implementation of "Towards Complete and Detail-Preserved Salient Object Detection", A.K.A [Arxiv] SelfReformer
RCSB-PyTorch
[WACV2022]-Recursive Contour-Saliency Blending Network for Accurate Salient Object Detection
SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning
SODEvalToolkit
A More Powerful Evaluation Toolbox for Salient Object Detection, I can use **6 key metrics** to evaluate (max F-measure, mean F-measure, weighted F-measure, MAE, S-measure, and E-measure), **draw**, and **export to excel**!
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
awesome-point-clouds-registration
A list of papers about point clouds registration
eval-co-sod
PyTorch-Based Evaluation Tool for Co-Saliency Detection
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
generative-inpainting-pytorch
A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
LDM
High-Resolution Image Synthesis with Latent Diffusion Models
matting_human_datasets
人像matting数据集，包含34427张图像和对应的matting结果图。
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
ntu_ce7455_assignment_2
NTU CE7455 Assignment 2
Pytorch2TensorRT
CUDA10.0, CUDNN7.5.0, TensorRT7.0.0.11
pytorch_morphological_dilation2d_erosion2d
An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch
RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
RCF-pytorch
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch