开放集相关顶会论文（44篇）

2024（2篇）

ECCV

Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector

• Project: http://yuqianfu.com/CDFSOD-benchmark/
• Paper: https://arxiv.org/pdf/2402.03094
• Code: https://github.com/lovelyqian/CDFSOD-benchmark

CVPR

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection（故障检测）

• Paper: https://arxiv.org/abs/2310.12790
• Code: https://github.com/mala-lab/AHL

2023（3篇）

CVPR

Progressive Open Space Expansion for Open-Set Model Attribution

• Paper: https://arxiv.org/abs/2303.06877
• Code: https://github.com/ICTMCG/POSE

WACV

Large-Scale Open-Set Classification Protocols for ImageNet

• Paper: https://openaccess.thecvf.com/content/WACV2023/html/Palechor_Large-Scale_Open-Set_Classification_Protocols_for_ImageNet_WACV_2023_paper.html
• Code: https://github.com/AIML-IfI/openset-imagenet

ICLR

The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition

• Paper: https://arxiv.org/abs/2302.04002
• Code: https://github.com/Jun-CEN/Unified-Open-Set-Recognition

2022（15篇）

ECCV

Open-Set Semi-Supervised Object Detection

• Paper: https://ycliu93.github.io/projects/ossod.html
• Code: None

DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

• Paper: https://arxiv.org/abs/2207.02606
• Code: https://github.com/matejgrcic/DenseHybrid

Difficulty-Aware Simulator for Open Set Recognition

• Paper: https://arxiv.org/abs/2207.10024
• Code: https://github.com/wjun0830/Difficulty-Aware-Simulator

Towards Accurate Open-Set Recognition via Background-Class Regularization

• Paper: http://arxiv.org/pdf/2207.10287
• Code: None

Few-Shot Class-Incremental Learning from an Open-Set Perspective

• Paper: http://arxiv.org/pdf/2208.00147
• Code: None

Interpretable Open-Set Domain Adaptation via Angular Margin Separation

• Paper: https://link.springer.com/chapter/10.1007/978-3-031-19830-4_1
• Code: https://github.com/LeoXinhaoLee/AMS?tab=readme-ov-file

CVPR

Unseen Classes at a Later Time? No Problem

• Paper: https://arxiv.org/abs/2203.16517
• Code: https://github.com/sumitramalagi/Unseen-classes-at-a-later-time

OSSGAN: Open-Set Semi-Supervised Image Generation

• Paper: https://arxiv.org/abs/2204.14249
• Code: https://github.com/raven38/ossgan

OpenTAL: Towards Open Set Temporal Action Localization

• Paper: https://arxiv.org/pdf/2203.05114.pdf
• Code: https://github.com/Cogito2012/OpenTAL

Expanding Low-Density Latent Regions for Open-Set Object Detection

• Paper: http://arxiv.org/abs/2203.14911
• Code: https://github.com/csuhan/opendet2

Towards Open-Set Object Detection and Discovery

• Paper: http://arxiv.org/pdf/2204.05604
• Code: None

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

• Paper: http://arxiv.org/abs/2203.14506
• Code: https://github.com/choubo/DRA

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition

• Paper: https://arxiv.org/abs/2012.13073
• Code: https://github.com/shiyuanh/TANE

ICLR

Open-Set Recognition: A Good Closed-Set Classifier is All You Need

• Paper: https://arxiv.org/abs/2110.06207
• Code: https://github.com/sgvaze/osr_closed_set_all_you_need

WACV

Few-Shot Open-Set Recognition of Hyperspectral Images With Outlier Calibration Network

• Paper: https://openaccess.thecvf.com/content/WACV2022/html/Pal_Few-Shot_Open-Set_Recognition_of_Hyperspectral_Images_With_Outlier_Calibration_Network_WACV_2022_paper.html
• Code: https://github.com/DebabrataPal7/OCN

2021（15篇）

ICCV

Conditional Variational Capsule Network for Open Set Recognition

• paper：https://arxiv.org/abs/2104.09159
• code：https://github.com/guglielmocamporese/cvaecaposr

OpenGAN: Open-Set Recognition via Open Data Generation

• Paper: https://arxiv.org/abs/2104.02939v2
• Code: https://github.com/aimerykong/OpenGAN

Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning

• Paper: https://arxiv.org/abs/2108.05617
• Code: https://github.com/huangjk97/T2T

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration

• Paper: https://openaccess.thecvf.com/content/ICCV2021/html/Wang_Energy-Based_Open-World_Uncertainty_Modeling_for_Confidence_Calibration_ICCV_2021_paper.html
• Code: https://github.com/BIGKnight/Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration

Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation

• Paper: https://openaccess.thecvf.com/content/ICCV2021/html/Zhang_Prototypical_Matching_and_Open_Set_Rejection_for_Zero-Shot_Semantic_Segmentation_ICCV_2021_paper.html
• Code: None

Towards Discovery and Attribution of Open-World GAN Generated Images

• Paper: https://arxiv.org/abs/2105.04580
• Code: None

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

• Paper: https://arxiv.org/abs/2104.04691
• Code: None

Deep Metric Learning for Open World Semantic Segmentation

• Paper: https://arxiv.org/abs/2108.04562
• Code: https://github.com/Jun-CEN/Open-World-Semantic-Segmentation

NGC: A Unified Framework for Learning With Open-World Noisy Data

• Paper: https://arxiv.org/abs/2108.11035
• Code: None

Evidential Deep Learning for Open Set Action Recognition

• Paper: https://arxiv.org/abs/2107.10161v1
• Code: https://github.com/Cogito2012/DEAR

CVPR

Exemplar-Based Open-Set Panoptic Segmentation Network

• Paper: https://arxiv.org/abs/2105.08336v2
• Code: https://github.com/jd730/EOPSN

Counterfactual Zero-Shot and Open-Set Visual Recognition

• Paper: https://arxiv.org/abs/2103.00887
• Code: https://github.com/yue-zhongqi/gcm-cf

Learning Placeholders for Open-Set Recognition

• Paper: https://arxiv.org/abs/2103.15086
• Code: https://github.com/zhoudw-zdw/CVPR21-Proser

Towards Open World Object Detection

• Paper: https://arxiv.org/abs/2103.02603
• Code: https://github.com/JosephKJ/OWOD

Few-Shot Open-Set Recognition by Transformation Consistency

• Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Jeong_Few-Shot_Open-Set_Recognition_by_Transformation_Consistency_CVPR_2021_paper.html
• Code: https://github.com/MinkiJ/SnaTCHer

WACV

Class Anchor Clustering: a Loss for Distance-based Open Set Recognition

• Paper: https://openaccess.thecvf.com/content/WACV2021/html/Miller_Class_Anchor_Clustering_A_Loss_for_Distance-Based_Open_Set_Recognition_WACV_2021_paper.html
• Code: None

2020（7篇）

ECCV

Hybrid Models for Open Set Recognition

• Paper: https://arxiv.org/abs/2003.12506v1
• Code: None

Learning Open Set Network with Discriminative Reciprocal Points

• Paper: https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480511.pdf
• Code: None

Open-set Adversarial Defense

• Paper: https://arxiv.org/abs/2009.00814v1
• Code: https://github.com/rshaojimmy/OSAD

Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning

• Paper: https://arxiv.org/abs/2007.11330v1
• Code: https://github.com/YU1ut/Multi-Task-Curriculum-Framework-for-Open-Set-SSL

CVPR

Conditional Gaussian Distribution Learning for Open Set Recognition

• Paper: https://arxiv.org/abs/2003.08823v2
• Code: https://github.com/mattolson93/CGDL-for-Open-Set-Recognition

Generative-discriminative Feature Representations for Open-set Recognition

• Paper: https://openaccess.thecvf.com/content_CVPR_2020/papers/Perera_Generative-Discriminative_Feature_Representations_for_Open-Set_Recognition_CVPR_2020_paper.pdf
• Code(非官方实现): https://github.com/misraya/unsupervised_open_set

Few-Shot Open-Set Recognition Using Meta-Learning

• Paper: https://openaccess.thecvf.com/content_CVPR_2020/html/Liu_Few-Shot_Open-Set_Recognition_Using_Meta-Learning_CVPR_2020_paper.html
• Code: None

2019

CVPR

Classification-Reconstruction Learning for Open-Set Recognition

• Paper: https://openaccess.thecvf.com/content_CVPR_2019/html/Yoshihashi_Classification-Reconstruction_Learning_for_Open-Set_Recognition_CVPR_2019_paper.html
• Code: https://github.com/saketd403/CROSR

2016

CVPR

Towards Open Set Deep Networks

• Paper: https://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Bendale_Towards_Open_Set_CVPR_2016_paper.html
• Code: https://github.com/abhijitbendale/OSDN