FASSEG-repositoryDatasets for multi-class and multi-pose face segmentation
Stars: ✭ 66 (-2.94%)
HPRNetBottom-up whole-body pose estimation method in constant time.
Stars: ✭ 51 (-25%)
Mask-YOLOInspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
Stars: ✭ 100 (+47.06%)
FreeSRA Free Library for Speaker Recognition (Verification),implemented by ncnn.
Stars: ✭ 21 (-69.12%)
HybrIKOfficial code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Stars: ✭ 395 (+480.88%)
DeepSegmentorA Pytorch implementation of DeepCrack and RoadNet projects.
Stars: ✭ 152 (+123.53%)
Primer-MotionCaptureA Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives
Stars: ✭ 19 (-72.06%)
EgoNetOfficial project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Stars: ✭ 111 (+63.24%)
eval-mpii-poseEvaluation code for the MPII human pose dataset
Stars: ✭ 58 (-14.71%)
LoFTRCode for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
Stars: ✭ 1,046 (+1438.24%)
HSE FaceRec tfTensorflow/Keras small models for face recognition, ag/gender prediction from images
Stars: ✭ 23 (-66.18%)
articulated-pose[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
Stars: ✭ 85 (+25%)
mtlearnMulti-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Stars: ✭ 45 (-33.82%)
ICONICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
Stars: ✭ 641 (+842.65%)
openpifpafOfficial implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Stars: ✭ 900 (+1223.53%)
sleapA deep learning framework for multi-animal pose tracking.
Stars: ✭ 200 (+194.12%)
Robotics-Object-Pose-EstimationA complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Stars: ✭ 153 (+125%)
tensorrt-examplesTensorRT Examples (TensorRT, Jetson Nano, Python, C++)
Stars: ✭ 31 (-54.41%)
XCloudOfficial Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)
Stars: ✭ 58 (-14.71%)
HRFormerThis is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".
Stars: ✭ 357 (+425%)
face[deprecated] 👽 Face Recognition package for Laravel
Stars: ✭ 37 (-45.59%)
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (-70.59%)
label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Stars: ✭ 230 (+238.24%)
OPVOSample code of BMVC 2017 paper: "Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities"
Stars: ✭ 40 (-41.18%)
EasyRecA framework for large scale recommendation algorithms.
Stars: ✭ 599 (+780.88%)
Fine-Grained-or-NotCode release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
Stars: ✭ 32 (-52.94%)
openpose-dockerA docker build file for CMU openpose with Python API support
Stars: ✭ 68 (+0%)
PCC-NetPCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Stars: ✭ 63 (-7.35%)
StarMapStarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Stars: ✭ 97 (+42.65%)
AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (-29.41%)
MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Stars: ✭ 34 (-50%)
11K-HandsTwo-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.
Stars: ✭ 44 (-35.29%)
VideoFacelet machine learning help you watching video.
Stars: ✭ 22 (-67.65%)
age-and-genderPredict Age and Gender of people from images | Determination of gender and age
Stars: ✭ 68 (+0%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (+26.47%)
WreckFaceAppAndroid application for gender, age and face recognition using OpenCV and JavaCV libraries
Stars: ✭ 21 (-69.12%)
ONNX-Mobile-Human-Pose-3DPython scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.
Stars: ✭ 69 (+1.47%)
TransPosePyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.
Stars: ✭ 250 (+267.65%)
LEMOOfficial Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Stars: ✭ 149 (+119.12%)
cvxpnplA Perspective-n-Points-and-Lines method.
Stars: ✭ 56 (-17.65%)
Indoor-SfMLearner[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Stars: ✭ 115 (+69.12%)
mediapipe-oscMediaPipe examples which stream their detections over OSC.
Stars: ✭ 26 (-61.76%)
multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Stars: ✭ 154 (+126.47%)
ViPNASThe official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.
Stars: ✭ 32 (-52.94%)
slamkitSLAM Kit
Stars: ✭ 28 (-58.82%)
awesome-6d-objectAwesome work on object 6 DoF pose estimation
Stars: ✭ 252 (+270.59%)
PCLocPose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
Stars: ✭ 37 (-45.59%)
Multi-task-Conditional-Attention-NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Stars: ✭ 21 (-69.12%)
torchMTLA lightweight module for Multi-Task Learning in pytorch.
Stars: ✭ 84 (+23.53%)
rmpe dataset serverRealtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.
Stars: ✭ 14 (-79.41%)
CPGSteven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Stars: ✭ 91 (+33.82%)