Deep Metric Transfer for Label Propagation with Limited Annotated Data
☆50Jun 3, 2023Updated 3 years ago
Alternatives and similar repositories for metric-transfer.pytorch
Users that are interested in metric-transfer.pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Meta-Learning based Noise-Tolerant Training☆122Aug 16, 2020Updated 5 years ago
- MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"☆10Oct 14, 2018Updated 7 years ago
- MatConvNet: CNNs for MATLAB☆51Jun 26, 2017Updated 9 years ago
- self-supervised domain adaptation☆48Dec 17, 2019Updated 6 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A lightweight library that implements state-of-the-art few-shot learning algorithms.☆25Apr 18, 2021Updated 5 years ago
- awesome video-based self-supervised learning methods in recently years☆10Nov 26, 2020Updated 5 years ago
- Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020☆53Apr 6, 2021Updated 5 years ago
- Self-Supervised Domain Adaptation with Consistency Training☆20Oct 28, 2020Updated 5 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Jun 11, 2020Updated 6 years ago
- The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation☆84Mar 29, 2021Updated 5 years ago
- Large Margin In Softmax Cross-Entropy Loss☆14Dec 24, 2019Updated 6 years ago
- NLNL: Negative Learning for Noisy Labels☆104Nov 14, 2019Updated 6 years ago
- ☆51Aug 8, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Dec 17, 2018Updated 7 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Mar 4, 2021Updated 5 years ago
- This repository contains the code for our CVPR 2022 paper on "Integrating Language Guidance into Vision-based Deep Metric Learning".☆44Aug 9, 2022Updated 3 years ago
- An open-source project for long-tail classification☆39Nov 29, 2021Updated 4 years ago
- [ICCVW 2019] A Global-local Embedding Module for Fashion Landmark Detection☆34Apr 26, 2023Updated 3 years ago
- Open set domain adaptation☆87Oct 20, 2019Updated 6 years ago
- Video Noise Contrastive Estimation☆66Nov 19, 2023Updated 2 years ago
- Semi-Supervised Video Salient Object Detection Using Pseudo-Labels, IEEE International Conference on Computer Vision (ICCV), 2019☆73Dec 5, 2019Updated 6 years ago
- (Batched) advanced indexing for PyTorch.☆54Dec 26, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- a transductive approach for video object segmentation☆154Jun 27, 2023Updated 3 years ago
- Large Scale BERT Distillation☆33Mar 24, 2023Updated 3 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆143Jun 14, 2019Updated 7 years ago
- PyTorch Code for the Paper: "Exploiting Uncertainty of Loss Landscape for Stochastic Optimization [Bhaskara et al. (2019)]☆16Apr 30, 2026Updated 2 months ago
- Unofficial pytorch implementation of algorithms for domain adaptation☆27Aug 15, 2018Updated 7 years ago
- Disentangled Non-Local Neural Networks☆84Dec 7, 2020Updated 5 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆419Aug 25, 2021Updated 4 years ago
- Easy Multiprocessing for Python☆42Nov 3, 2020Updated 5 years ago
- ☆36Jun 22, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- GPU methods for alpha matting, including cutting edge research algorithms by Philip G. Lee.☆12Jan 8, 2014Updated 12 years ago
- HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN☆70Nov 25, 2018Updated 7 years ago
- Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019☆33Sep 18, 2019Updated 6 years ago
- Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)☆61Oct 15, 2018Updated 7 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 7 years ago
- Joint geodesic upsampling☆12Jan 16, 2018Updated 8 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆759Mar 25, 2021Updated 5 years ago