Pinned Repositories
action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
caffe
Caffe: a fast open framework for deep learning.
chainer-dfi
Implementation of Deep Feature Interpolation
CTPN
Detecting Text in Natural Image with Connectionist Text Proposal Network
DaSiamRPN
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
DeepLearningImplementations
Implementation of recent Deep Learning papers
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Digit_Recognizer
Digit Recognizer of kaggle competetions
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
GOTURN
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
charlesyann's Repositories
charlesyann/action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
charlesyann/caffe
Caffe: a fast open framework for deep learning.
charlesyann/chainer-dfi
Implementation of Deep Feature Interpolation
charlesyann/CTPN
Detecting Text in Natural Image with Connectionist Text Proposal Network
charlesyann/DaSiamRPN
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
charlesyann/DeepLearningImplementations
Implementation of recent Deep Learning papers
charlesyann/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
charlesyann/Digit_Recognizer
Digit Recognizer of kaggle competetions
charlesyann/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
charlesyann/GOTURN
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
charlesyann/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
charlesyann/keras-tutorial
Tutorial teaching the basics of Keras and some deep learning concepts
charlesyann/lectures
Oxford Deep NLP 2017 course
charlesyann/longchaoyang.github.io
Personnal Web.
charlesyann/MNC
Instance-aware Semantic Segmentation via Multi-task Network Cascades
charlesyann/Multi-Person-Pose-Estimation
charlesyann/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
charlesyann/python3-cookbook
《Python Cookbook》 3rd Edition Translation
charlesyann/R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
charlesyann/SSD
single shot detector
charlesyann/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
charlesyann/TA-FCN
Translation-aware Fully Convolutional Instance Segmentation
charlesyann/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
charlesyann/yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏