pytorch-dense-correspondence

Object descriptor network

This project presents a method for learning dense object descriptors from self-supervised data, enabling tasks such as robotic manipulation and object recognition.

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

GitHub

561 stars
28 watching
133 forks
Language: Python
last commit: over 3 years ago
3dartificial-intelligencecomputer-visiondeep-learningmanipulationpytorchroboticsself-supervised-learningvision

Screenshot of RobotLocomotion/pytorch-dense-correspondence website

arxiv.org/pdf/1806.08756.pdf

Related projects:

RepositoryDescriptionStars
bamos/densenet.pytorchAn implementation of a deep neural network architecture in PyTorch833
lotayou/densebody_pytorchAn implementation of CloudWalk's DenseBody paper using PyTorch411
4uiiurz1/pytorch-res2netImplementations of deep learning architectures using PyTorch for image classification tasks on various datasets.112
kaiyangzhou/dassl.pytorchA PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.1,236
isht7/pytorch-deeplab-resnetA deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.602
zsef123/efficientnets-pytorchA PyTorch implementation of EfficientNet for computer vision tasks309
kimhc6028/relational-networksA PyTorch implementation of a neural network module for relational reasoning in computer vision tasks809
zhanghang1989/pytorch-encodingA Python framework for building deep learning models with optimized encoding layers and batch normalization.2,044
felixgwu/img_classification_pk_pytorchA PyTorch project for comparing image classification models and facilitating quick experiment setup366
dyhan0920/pyramidnet-pytorchAn implementation of a deep neural network architecture for image classification tasks273
chenyuntc/dsod.pytorchAn implementation of the Deep Supervised Object Detector from scratch using PyTorch.70
l0sg/relational-rnn-pytorchAn implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling245
kazuto1011/pspnet-pytorchRe-implementation of a deep learning model for semantic segmentation using PyTorch.52
xxradon/igcv3-pytorchReimplements MobileNet-V2 and IGCV3 using PyTorch for efficient deep learning.19
d-li14/regnet.pytorchAn implementation of a PyTorch-based neural network architecture for image classification tasks.68