open-set-recognition

There are 68 repositories under open-set-recognition topic.

  • OpenGVLab/InternVideo

    [ECCV2024] Video Foundation Models & Data for Multimodal Understanding

    Language:Python2k27277126

  • iCGY96/awesome_OpenSetRecognition_list

    A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

    1.2k389150
  • OpenOOD

    Jingkang50/OpenOOD

    Benchmarking Generalized Out-of-Distribution Detection

    Language:Python98410129155

  • huytransformer/Awesome-Out-Of-Distribution-Detection

    Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

    94538476

  • Jingkang50/OODSurvey

    The Official Repository for "Generalized OOD Detection: A Survey"

    Language:Jupyter Notebook45615340

  • kkirchheim/pytorch-ood

    👽 Out-of-Distribution Detection with PyTorch

    Language:Python31233628

  • iCGY96/ARPL

    [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition

    Language:Python17711628

  • ma-xu/Open-Set-Recognition

    Open Set Recognition

    Language:Python1694429

  • shuolucs/Awesome-Out-Of-Distribution-Detection

    [ACM CSUR 2025] Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

    14311113

  • thuiar/OKD-Reading-List

    Papers for Open Knowledge Discovery

    Language:TeX1205224

  • MCG-NJU/AWT

    [NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

    Language:Python107416

  • LAMDA-CL/CVPR21-Proser

    Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)

    Language:Python91

  • dlmacedo/entropic-out-of-distribution-detection

    A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

    Language:Python794410

  • NazirNayal8/RbA

    Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)

    Language:Python6641911

  • XinshaoAmosWang/Ranked-List-Loss-for-DML

    CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

    Language:Shell66468

  • MrtnMndt/OpenVAE_ContinualLearning

    Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

    Language:Python649612

  • taslimisina/osr-ood-ad-methods

    This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".

    Language:Python61327

  • sjliu68/MDL4OW

    S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

    Language:Python561116

  • Cogito2012/OpenTAL

    [CVPR 2022 Oral] Towards Open Set Temporal Action Localization

    Language:Python54391

  • mala-lab/AHL

    Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

    Language:Python47063

  • dlmacedo/distinction-maximization-loss

    A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

    Language:Python44345

  • 00why00/Glocal

    [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition

    Language:Python423177

  • wjun0830/Difficulty-Aware-Simulator

    Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)

    Language:Python42143

  • gaozhengqing/UniEnt

    PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"

    Language:Python27121

  • MinkiJ/SnaTCHer

    [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency

    Language:Python24172

  • PRIS-CV/Mutual-to-Separate

    Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)

    Language:Python24704

  • rshaojimmy/OSAD

    [ECCV 2020] Pytorch codes for Open-set Adversarial Defense

    Language:Python23133

  • mala-lab/PReNet

    Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"

    Language:Python21034

  • dlmacedo/robust-deep-learning

    A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

    Language:Python17103

  • patrickschlachter/osr-using-ics

    Open-Set Recognition Using Intra-Class Splitting

    Language:Python17322

  • Crush0416/Fea-DA---Unknown-SAR-Target-Identification

    This is a novel unknown sar target identification method based on feature extraction networks and KLD-RPA joint discrimination. Experiment results form MSTAR dataset shows that our proposed Fea-DA achieves state of the art unknown sar target identification accuracy while maintaining the high recognition accuracy of known target.

    Language:Python14101

  • heejokong/UAGreg

    [AAAI 2024] Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

    Language:Python14101

  • steb6/ISBFSAR

    Interactive Skeleton Based Few Shot Action Recognition

    Language:Python14242

  • DebabrataPal7/OCN

    Official Implementation of "Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network" (WACV22)

    Language:Jupyter Notebook13111

  • Andrewwango/open-set-resnet

    Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.

    Language:Jupyter Notebook12204

  • MCG-NJU/VLG

    [IJCV] VLG: General Video Recognition with Web Textual Knowledge (https://arxiv.org/abs/2212.01638)

    Language:Python10100