Han-Jia / UNICORN-MAMLView external linksLinks
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
☆44Jun 29, 2024Updated last year
Alternatives and similar repositories for UNICORN-MAML
Users that are interested in UNICORN-MAML are comparing it to the libraries listed below
Sorting:
- ☆13Jun 20, 2022Updated 3 years ago
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.☆18May 25, 2023Updated 2 years ago
- [AAAI 2022] Label Hallucination for Few-Shot Classification☆27Dec 29, 2022Updated 3 years ago
- Learning Intact Features by Erasing-Inpainting for Few-shot Classification☆18Jul 28, 2022Updated 3 years ago
- ☆21Jan 5, 2023Updated 3 years ago
- Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification☆40Mar 25, 2023Updated 2 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Oct 12, 2022Updated 3 years ago
- ☆39Nov 4, 2024Updated last year
- The PackNet Continual Learning Method in Pytorch☆15Aug 19, 2021Updated 4 years ago
- Code for "Memory Efficient Meta-Learning with Large Images"☆11Nov 24, 2021Updated 4 years ago
- Code release for Grad-CAM Guided Attention Module for Fine-grained Visual Classification (MLSP 2022)☆13Aug 25, 2021Updated 4 years ago
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆49Sep 2, 2023Updated 2 years ago
- Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 202…☆26Nov 18, 2022Updated 3 years ago
- Code for ComEx [CVPR 2022]☆12Dec 5, 2022Updated 3 years ago
- ☆16Sep 14, 2023Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆827Dec 5, 2023Updated 2 years ago
- ☆15Oct 6, 2020Updated 5 years ago
- PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"☆60Apr 1, 2022Updated 3 years ago
- ☆30Jun 19, 2022Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆66Dec 18, 2021Updated 4 years ago
- The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.☆13Dec 24, 2021Updated 4 years ago
- A large-scale benchmark for the evaluation of embeddings across a number of fine-grained and instance-level visual domains.☆17Jun 14, 2024Updated last year
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆145Feb 23, 2024Updated last year
- Learning to predict crop type from heterogeneous sparse labels using meta-learning☆20Jun 17, 2021Updated 4 years ago
- A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.☆15Dec 14, 2022Updated 3 years ago
- 根据关键词从Openaccess网站获取文章列表,CVPR2020/WACV2020小样本论文合辑☆15Jan 17, 2022Updated 4 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 2 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Oct 22, 2019Updated 6 years ago
- ☆17Oct 7, 2022Updated 3 years ago
- The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mob…☆110Jun 18, 2025Updated 7 months ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Nov 15, 2023Updated 2 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Sep 19, 2022Updated 3 years ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆31Jan 28, 2026Updated 2 weeks ago
- Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) implementation in Pytorch-Lightning☆18Aug 13, 2021Updated 4 years ago
- Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)☆49Nov 21, 2023Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆137Oct 31, 2023Updated 2 years ago
- NN 2023☆23Nov 9, 2022Updated 3 years ago
- vit for few-shot classification☆47Mar 24, 2023Updated 2 years ago