open-set

[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

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

Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

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

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Open Set Recognition

Referring any person or objects given a natural language description. Code base for RexSeek and HumanRef Benchmark

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.

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 2022 Oral] Towards Open Set Temporal Action Localization

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

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.

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.

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

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.

Open-Set Recognition Using Intra-Class Splitting

Efficient and User-Friendly Time Series Analysis Library for PyOpenTS with pytorch compatibility.

Interactive Skeleton Based Few Shot Action Recognition

Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)