A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
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Updated
Mar 1, 2024
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Video Foundation Models & Data for Multimodal Understanding
Benchmarking Generalized Out-of-Distribution Detection
The Official Repository for "Generalized OOD Detection: A Survey"
👽 Out-of-Distribution Detection with PyTorch
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
Open Set Recognition
Papers for Open Knowledge Discovery
The code repository for "Learning Placeholders for Open-Set Recognition" (CVPR'21 Oral) in PyTorch.
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.
CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
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".
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.
[CVPR 2022 Oral] Towards Open Set Temporal Action Localization
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
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.
Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
[CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency
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