Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
☆58Nov 3, 2022Updated 3 years ago
Alternatives and similar repositories for simple-cnaps
Users that are interested in simple-cnaps are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for a python based implementation of a FOPPL SMC sampler.☆11May 9, 2021Updated 4 years ago
- Evaluating multiple novel approaches for adjective use in image captioning.☆20Apr 20, 2021Updated 4 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆119Mar 25, 2023Updated 3 years ago
- Source code for “Neural RST-based Evaluation of Discourse Coherence” (AACL-IJCNLP 2020)☆28Aug 29, 2021Updated 4 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
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for "Conditional Self-Supervised Learning for Few-Shot Classification" in IJCAI 2021.☆22Oct 31, 2022Updated 3 years ago
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆63Jun 3, 2021Updated 4 years ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆114Dec 27, 2022Updated 3 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Apr 21, 2021Updated 4 years ago
- (CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks☆131Jul 10, 2023Updated 2 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Jan 14, 2021Updated 5 years ago
- ☆18Oct 14, 2021Updated 4 years ago
- The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.☆20Jul 28, 2020Updated 5 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆352Apr 12, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆12Sep 22, 2021Updated 4 years ago
- This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning" (SCIENCE CHINA Information Sciences).☆49Jul 29, 2023Updated 2 years ago
- (ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning☆14Apr 4, 2022Updated 4 years ago
- ☆10Jul 25, 2022Updated 3 years ago
- Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification☆66Aug 5, 2023Updated 2 years ago
- [AAAI 2022] Label Hallucination for Few-Shot Classification☆27Dec 29, 2022Updated 3 years ago
- ☆13Sep 14, 2022Updated 3 years ago
- Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.☆11Dec 9, 2021Updated 4 years ago
- A dataset of datasets for learning to learn from few examples☆801May 24, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The code for "SCL: Self-supervised contrastive learning for few-shot image classification"☆20Oct 8, 2024Updated last year
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated last year
- Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).☆50Dec 19, 2022Updated 3 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Apr 21, 2022Updated 3 years ago
- Codebase, data and models for the Headline Grouping paper at NAACL2021☆12Oct 2, 2022Updated 3 years ago
- Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)☆52Jun 11, 2022Updated 3 years ago
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Aug 5, 2021Updated 4 years ago
- ☆30Aug 8, 2021Updated 4 years ago
- ☆11Jul 20, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ICML 2022] Channel Importance Matters in Few-shot Image Classification☆59Apr 19, 2023Updated 2 years ago
- Code for "Matching feature sets for few-shot image classification"-CVPR'2022.☆42Mar 21, 2023Updated 3 years ago
- Code for "Mixture-based feature space learning for few-shot image classification"-ICCV'2021.☆14Oct 13, 2021Updated 4 years ago
- ☆23Feb 26, 2024Updated 2 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆72Feb 7, 2023Updated 3 years ago
- ☆59Jan 12, 2022Updated 4 years ago
- This is the unofficially official implementation of the paper "Feature Weighting and Boosting for Few-Shot Segmentation"☆15Aug 16, 2021Updated 4 years ago