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awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-ocr

papers about ocr

awesome-ocr-resources

A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cmake

Mirror of CMake upstream repository

cornernet-lite

couplenet

Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn.pytorch

Convolutional recurrent network in pytorch

csrnet-caffe

CSRNet train and test on caffe

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

cyclegan-tensorflow-1

An implementation of CycleGan using TensorFlow

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-feature-flow

Deep Feature Flow for Video Recognition

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT tracking using deepsort yolo3 with pytorch

deformable-convnets-caffe

Deformable Convolutional Networks on caffe

deformable-convnets-v1-v2-caffe

Deformable ConvNet V1 and V2 on caffe

detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dfanet

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

ds

cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric

eco

Matlab implementation of the ECO tracker.

eco-efficient-video-understanding

Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018