[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
☆42Jan 13, 2023Updated 3 years ago
Alternatives and similar repositories for Meta-Fine-Tuning
Users that are interested in Meta-Fine-Tuning are comparing it to the libraries listed below
Sorting:
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆236Nov 6, 2020Updated 5 years ago
- ☆18Jun 20, 2020Updated 5 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆71Feb 7, 2023Updated 3 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)☆13Jul 30, 2019Updated 6 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆145Feb 23, 2024Updated 2 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Jul 26, 2021Updated 4 years ago
- (AAAI 2023) Better Generalized Few-Shot Learning Even Without Base Data☆13Nov 29, 2022Updated 3 years ago
- Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation☆24Jul 12, 2022Updated 3 years ago
- A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks☆19Jan 21, 2022Updated 4 years ago
- A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example☆16Jun 24, 2019Updated 6 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆148Jul 21, 2020Updated 5 years ago
- Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"☆20May 23, 2023Updated 2 years ago
- Code for "When Does Self-supervision Improve Few-shot Learning?" @ ECCV 2020☆35May 22, 2021Updated 4 years ago
- Simulation of channel models for MIMO UAV communication (Rice Networks Group, ASTRO)☆21May 6, 2021Updated 4 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Mar 25, 2023Updated 2 years ago
- [ICCV 2023] LFS-GAN: Lifelong Few-Shot Image Generation☆21Jan 3, 2024Updated 2 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated last year
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆784Jun 2, 2025Updated 9 months ago
- accepted at ICCV 2021☆21Feb 10, 2025Updated last year
- ☆577Mar 1, 2023Updated 3 years ago
- ☆91Mar 21, 2022Updated 3 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Nov 19, 2021Updated 4 years ago
- Dual Contrastive Learning for Few-shot Medical Image Segmentation☆28Mar 2, 2023Updated 3 years ago
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆56Sep 25, 2019Updated 6 years ago
- [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning☆62Jan 4, 2021Updated 5 years ago
- ☆58Jan 12, 2022Updated 4 years ago
- (CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166☆172Mar 5, 2023Updated 2 years ago
- ☆30Apr 6, 2021Updated 4 years ago
- Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data☆71Jun 1, 2025Updated 9 months ago
- The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".☆25Feb 29, 2020Updated 6 years ago
- a respectively concise Implemention of Maml in Module way☆30Oct 20, 2019Updated 6 years ago
- Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".☆32Apr 7, 2022Updated 3 years ago
- The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"☆10Aug 28, 2020Updated 5 years ago
- Few shot learning for cancer☆36Nov 17, 2021Updated 4 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Mar 19, 2024Updated last year
- ☆34Jun 26, 2021Updated 4 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Feb 7, 2023Updated 3 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆36Aug 18, 2020Updated 5 years ago