[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

Benchmarking Generalized Out-of-Distribution Detection

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

👽 Out-of-Distribution Detection with PyTorch

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

Open Set Recognition

Papers for Open Knowledge Discovery

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

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

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".

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

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

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.

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

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