[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
-
Updated
Oct 21, 2024 - Python
[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
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
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
Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Open Set Recognition
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 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)
[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.
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.
Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch
Interactive Skeleton Based Few Shot Action Recognition
Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)
Open-Set Support Vector Machines (OSSVM) [see commit message https://github.com/pedrormjunior/ossvm/commit/50d51dc482c8e13df7d9037976b97db7e60a1ccf for usage]
The code of 'Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach'
Add a description, image, and links to the open-set topic page so that developers can more easily learn about it.
To associate your repository with the open-set topic, visit your repo's landing page and select "manage topics."