[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
-
Updated
Jun 11, 2019 - Python
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
Code for our CVPR 2019 work.
self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"
self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"
PyTorch implementation of "PatchVAE: Learning Local Latent Codes for Recognition" to appear in CVPR 2020
Tensorflow implementation of CNN described in https://arxiv.org/abs/1806.09594
Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
Pytorch Implementation of popular self-supervised models
PaintsTorch2: Self-Supervised User-Guided Anime Lineart Colorization https://yliess86.github.io/PaintsTorch2/
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Implements and analyses frame-to-frame pixel reprojection for the Hypersim Evermotion data set.
Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Collections of self-supervised methods, based on cvpods.
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021
Pytorch implementation of the paper, "A Simple Framework for Contrastive Learning of Visual Representations", or SimCLR, https://arxiv.org/pdf/2002.05709.pdf
Pytorch implementation of the paper, "Bootstrap Your Own Latent A New Approach to Self-Supervised Learning", or BYOL, https://arxiv.org/pdf/2006.07733v3.pdf
Pytorch implementation of the paper, "Representation Learning with Contrastive Predictive Coding", or CPC, https://arxiv.org/pdf/1807.03748.pdf
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
This is an unofficial Python demo of the Self-Supervised Label Generator (SSLG), presented in "Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs. Our SSLG can be used effectively for self-supervised drivable area and road anomaly segmentation based on RGB-D data".
Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".
Add a description, image, and links to the self-supervised topic page so that developers can more easily learn about it.
To associate your repository with the self-supervised topic, visit your repo's landing page and select "manage topics."