open-set
There are 24 repositories under open-set topic.
IDEA-Research/T-Rex
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
iCGY96/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
IDEA-Research/Grounding-DINO-1.5-API
Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
huytransformer/Awesome-Out-Of-Distribution-Detection
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
zhmiao/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
abhijitbendale/OSDN
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
ma-xu/Open-Set-Recognition
Open Set Recognition
dlmacedo/entropic-out-of-distribution-detection
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.
Cogito2012/OpenTAL
[CVPR 2022 Oral] Towards Open Set Temporal Action Localization
jd730/EOPSN
[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)
dlmacedo/distinction-maximization-loss
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.
PRIS-CV/Mutual-to-Separate
Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)
dlmacedo/robust-deep-learning
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.
patrickschlachter/osr-using-ics
Open-Set Recognition Using Intra-Class Splitting
PyOpenTS/PyOpenTS
Efficient and User-Friendly Time Series Analysis Library for PyOpenTS with pytorch compatibility.
yanbeic/ssl-class-mismatch
Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch
steb6/ISBFSAR
Interactive Skeleton Based Few Shot Action Recognition
rafaelvareto/HPLS-HFCN-openset
Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)
pedrormjunior/ossvm
Open-Set Support Vector Machines (OSSVM) [see commit message https://github.com/pedrormjunior/ossvm/commit/50d51dc482c8e13df7d9037976b97db7e60a1ccf for usage]
lochielochie/open-deep-research
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
ZhenbangDu/DSD
The code of 'Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach'
FelipeCorredor73/DAAI_OPEN_SET_ROS
Open-Set Domain Adaptation through Self-Supervision, using a ROS task this repository contains the python implementation of the final project for the course of Data Analysis & Artificial Intelligence
serdeltomas/nn-classifier-uncertainty
Bachelor's thesis work on Uncertainty in neural network classifiers
uai-ufmg/open-set-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.