Pinned Repositories
2016_person_re-ID
A Discriminatively Learned CNN Embedding for Person Re-identification
2018DSB
2018 Data Science Bowl 2nd Place Solution
2019_algorithm_intern_information
2020年的算法实习岗位信息表,部分包括内推码,和常见深度学习算法岗面试题及答案,暑期计算机视觉实习面经和总结
2019Baidu-XJTU_URFC
2019Baidu&XJTU_URFC Preliminary Round Code
Algorithms_Engineer_Interview
计算机视觉算法工程师面试总结
kaggle
Kaggle 项目实战(教程) = 文档 + 代码 + 视频
MNN-yolov3
Surface-Defect-Detection-1
🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research are very important. 🐋
Weighted-Boxes-Fusion
Set of methods to ensemble boxes from object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Yolov5_tf
Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow
SlideLucask's Repositories
SlideLucask/TensorFlow-and-DeepLearning-Tutorial
TensorFlow & Deep Learning Tutorial
SlideLucask/DeepLearningCourseCodes
SlideLucask/DeepLearningC
Simple program to learn CNN (LeNet-5) in pure C
SlideLucask/rcnn
R-CNN: Regions with Convolutional Neural Network Features
SlideLucask/crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
SlideLucask/bnn-fpga
Binarized Convolutional Neural Networks on Software-Programmable FPGAs
SlideLucask/RaspberryPi-FaceDetection-MTCNN-Caffe-With-Motion
MTCNN with Motion Detection, on Raspberry Pi with Love
SlideLucask/MNIST-XNORNet
A XNOR ConvNet for digit recognition
SlideLucask/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
SlideLucask/road_lane_line_detection
Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms
SlideLucask/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
SlideLucask/CACU
This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.
SlideLucask/BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
SlideLucask/binary_net
experimental binary net implementation in chainer