Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
☆42Jul 5, 2023Updated 2 years ago
Alternatives and similar repositories for few-shot-open-set
Users that are interested in few-shot-open-set 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 Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"☆31Aug 2, 2022Updated 3 years ago
- ☆16Mar 9, 2023Updated 3 years ago
- ☆38Jul 20, 2020Updated 5 years ago
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆42May 18, 2023Updated 3 years ago
- The torchosr module is a set of tools for Open Set Recognition in Python, compatible with PyTorch library.☆13Mar 11, 2025Updated last year
- 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.
- Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"☆22Apr 30, 2024Updated 2 years ago
- Clustering for Few-shot Learning☆13Jul 25, 2024Updated last year
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Aug 5, 2021Updated 4 years ago
- [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition☆59Dec 1, 2023Updated 2 years ago
- Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…☆24Jun 4, 2023Updated 3 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37May 4, 2021Updated 5 years ago
- [MedIA'25] Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation.☆44Oct 15, 2025Updated 8 months ago
- Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)☆18Dec 18, 2023Updated 2 years ago
- [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency☆26Apr 15, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Nov 12, 2022Updated 3 years ago
- (CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166☆175Mar 5, 2023Updated 3 years ago
- A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification☆59Jan 6, 2023Updated 3 years ago
- A really simple tool to visualize different segmentation results☆19Feb 24, 2025Updated last year
- This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with S…☆116Jun 11, 2024Updated 2 years ago
- Toolbox for HelixNet, a dataset presented in the "Online Segmentation of LiDAR Sequences: Dataset and Algorithm" paper☆44Dec 13, 2022Updated 3 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆93Feb 11, 2022Updated 4 years ago
- Meta-Album meta-dataset for few-shot image classification☆27Mar 6, 2023Updated 3 years ago
- Model calibration in CLIP Adapters☆20Aug 19, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Few-Shot Learning for Hyperspectral Image Classification☆32May 19, 2022Updated 4 years ago
- Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]☆13Feb 3, 2026Updated 4 months ago
- ☆34Sep 24, 2022Updated 3 years ago
- Efficient distance analysis for segmentation in PyTorch☆12Jun 20, 2026Updated last week
- ☆11Nov 30, 2022Updated 3 years ago
- ☆15Dec 12, 2020Updated 5 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 2 years ago
- Few-shot learning with mislabeled support samples☆44Feb 28, 2023Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Apr 18, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Jul 3, 2022Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123May 23, 2023Updated 3 years ago
- An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)☆13Jul 30, 2019Updated 6 years ago
- Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".☆14Nov 16, 2022Updated 3 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆78Nov 3, 2022Updated 3 years ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,208Mar 1, 2024Updated 2 years ago
- Extension of libSVM to support Open Set Recognitoin as described in "Toward Open Set Recognition", TPAMI July 2013☆12Oct 21, 2013Updated 12 years ago