Kangcheng Liu Jimmy's starred repositories
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Deep-Learning-Approach-for-Surface-Defect-Detection
A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Tiny-Defect-Detection-for-PCB
This is a repository about PCB defect detection.
Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5
天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案
Surface-Inspection-defect-detection-dataset
This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection,etc
self_supervised
Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.
Industrial-Defect-Inspection-segmentation
Automatic Defect Inspection with End-to-End Deep Learning
smart-defect-inspection
Simple python script for industrial defect inspection( counting the number of pills during manufacturing)
Zero-Shot-Hashing
Transductive Zero-Shot Hashing For Multi-Label Image Retrieval
Metal-Surface-Defect-Inspection
Metal Surface Defect Inspection through Deep Convolution Neural Network
Steel-Surface-Defect-Detection
An Automatic real-time Optical Inspection System for classifying and detecting defects in steel surfaces.
CV-cap-liner-inspection
Computer Vision project for the inspection of defects in plastic cap liners
plasticdefects
Plastic Defects Inspection
Multistage-Routing-in-Communication-Networks
Worked along with Prof Dr.Shalabh Bhatnagar to introduce a ‘Discrete Event Simulation Approach’ mechanism | Worked as a Project Trainee on a project on Routing in Communication Networks | Designed algorithm to generate discrete and continuous random variables | Implemented the M/M/c Queuing Theory with varying probabilities | Worked on Spall’s SPSA (Simultaneous perturbation stochastic approximation) algorithm. It is used to optimize systems with multiple unknown parameters using stochastic approximation.