Pinned Repositories
activityrecognition
Information about activity recognition
awesome-meta-learning
A curated list of Meta-Learning resources/papers.
AwesomeDehazing
A collection of dehazing methods.
chapter3_DDAD
Dual-route Domain Adaptation for Coal Mine Images Dehazing Based on Enhancement
Color-Attenuation-Prior-Dehazing
MATLAB codes for the paper "A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior"
DIDH
[DIDH] - Towards Domain Invariant Single Image Dehazing - Accepted AAAI-2021
Distilling-Image-Dehazing-With-Heterogeneous-Task-Imitation
DTDN-DTDN-Dual-task-De-raining-Network
MMLE_code
MMLE_Code_TIP2022
PDR-GAN
Unpaired Image Dehazing with Physical-Guided Restoration and Depth-Guided Refinement
hello-trouble's Repositories
hello-trouble/AwesomeDehazing
A collection of dehazing methods.
hello-trouble/chapter3_DDAD
Dual-route Domain Adaptation for Coal Mine Images Dehazing Based on Enhancement
hello-trouble/MMLE_code
MMLE_Code_TIP2022
hello-trouble/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
hello-trouble/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
hello-trouble/Bachelor-Thesis-Project-ML-Based-Conveyor-Belt-for-Detecting-Separating-Rotten-Fruits
This repo contains my bachelor thesis project which is a conveyor belt system that detects and separates rotten fruits using machine learning.
hello-trouble/CARD
Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
hello-trouble/CCAM
C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)
hello-trouble/CV
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
hello-trouble/Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABL
Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series
hello-trouble/DEHRFormer
ICASSP 2023 | DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
hello-trouble/DWT-FFC
Official PyTorch implementation of dehazzing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
hello-trouble/Ear-segmentation
Accurate ear segmentation
hello-trouble/EarSegmentationAndRecognition
Segment ears from images and recognize people based on it
hello-trouble/Exposure_Correction-pytorch
CVPR2021 Learning Multi-Scale Photo Exposure Correction论文的非官方pytorch代码
hello-trouble/Exposure_Correction-pytorch-1
hello-trouble/Face_Ear_Landmark_Detection
tf-keras code of Face Ear Landmark Detection System (with Multi-Task Learning).
hello-trouble/FeMaSR
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
hello-trouble/fifo
[CVPR 2022 Oral] Official PyTorch implementation of FIFO
hello-trouble/flare_removal_pytorch
PyTorch Implementation of "How to Train Neural Networks for Flare Removal"
hello-trouble/image_processing
basic inplementation of image processing algorithms, such as bilateral filter, BM3D and so on
hello-trouble/MS-CSC-Rain-Streak-Removal
There is a code of ”Video Rain Streak Removal By Multiscale Convolutional Sparse Coding” in. There are several added comparison results in different real videos to further show the superiority of the MS-CSC model.
hello-trouble/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
hello-trouble/TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
hello-trouble/TransWeather
Pytorch Code for the paper TransWeather - CVPR 2022
hello-trouble/UWNR
This is the implementation code repository of UWNR
hello-trouble/yolo3-pytorch
这是一个yolo3-pytorch的源码,可以用于训练自己的模型。
hello-trouble/YoloV5_D415
hello-trouble/YoloV5_D415_Ros_Topic
hello-trouble/YOLTV8
🚀 Improve the original YOLT project, combine YOLOV8 and custom post-processing technology to achieve accurate detection of large-scale images.