chenkeshuai

algorithom

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

graphhopper

Open source routing engine for OpenStreetMap. Use it as Java library or server.

Hyperspectral-Band-Selection

Thesis learning of《Hyperspectral Band Selection A review》

Object-Detection-Knowledge-Distillation

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

Sal_project

A saliency project based on SalGAN for ML lesson

TransparentShapeReconstruction

vedai

vedai dataset for darknet

voc2coco

How to create custom COCO data set for object detection

YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone

YOLO ModelCompression MultidatasetTraining

chenkeshuai/Awesome-Knowledge-Distillation-for-CV

Awesome Knowledge-Distillation for CV

chenkeshuai/YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone

YOLO ModelCompression MultidatasetTraining

chenkeshuai/salgan

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

chenkeshuai/pytorch-learning

chenkeshuai/ML-Class-Assignment

The assignment of machine learning course for post-graduates at BUAA EE, 2019.

chenkeshuai/Hyperspectral-Band-Selection

Thesis learning of《Hyperspectral Band Selection A review》

chenkeshuai/d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

chenkeshuai/data_ml

机器学习数据

chenkeshuai/deep_learning_object_detection

A paper list of object detection using deep learning.

chenkeshuai/Pytorch-Model-Acceleration

chenkeshuai/vedai

vedai dataset for darknet

chenkeshuai/TransparentShapeReconstruction

chenkeshuai/MINet

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

chenkeshuai/eval-co-sod

PyTorch-Based Evaluation Tool for Co-Saliency Detection

chenkeshuai/TransparentShapeDatasetCreation

chenkeshuai/SmallObjectDetectionList

List of the Papers Addressing Vision-based Small Object Detection

chenkeshuai/Sal-CFS-GAN

TIP2019-GazeGAN Saliency Model

chenkeshuai/VisDrone-Dataset

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

chenkeshuai/medium

Code base for medium articles

chenkeshuai/M2Det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

chenkeshuai/PGAN-DNN

In this study, we propose Perceptual Generative Adversarial Networks (PGANs) for image-to-image transformations. Different from existing application driven algorithms, PGAN provides a generic framework of learning to map from input images to desired images, such as a rainy image to its de-rained counterpart, object edges to photos, and semantic labels to a scenes image. The proposed PAN consists of two feed-forward convolutional neural networks: the image transformation net- work T and the discriminative network D. Besides the generative adversarial loss widely used in GANs, we propose the perceptual adversarial loss, which undergoes an adversarial training process between the image transformation network T and the hidden layers of the discriminative network D. The hidden layers and the output of the discriminative network D are upgraded to constantly and automatically discover the discrepancy between the transformed image and the corresponding ground truth, while the image transformation network T is trained to minimize the discrepancy explored by the discriminative network D. Through integrating the generative adversarial loss and the perceptual adversarial loss, D and T can be trained alternately to solve image-to-image transformation tasks. Experiments evaluated on several image-to-image transformation tasks (e.g., image de- raining and image inpainting) demonstrate the effectiveness of the proposed PAN and its advantages over many existing works.

chenkeshuai/MLNet-Pytorch

Implementation of A Deep Multi-Level Network for Saliency Prediction in Pytorch

chenkeshuai/improc

image processing course on bioimphy research group

chenkeshuai/Sal_project

A saliency project based on SalGAN for ML lesson

chenkeshuai/warehouse

start from a rookie

chenkeshuai/PyTorch-UNet

PyTorch Implementation for Segmentation and Saliency Prediction

chenkeshuai/CapstoneProject_House_Prices_Prediction

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

chenkeshuai/ModelDistillation-PyTorch

PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression

chenkeshuai/knowledge

一些关于日常学习的信息