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Projects in Awesome Lists tagged with open-set

A curated list of projects in awesome lists tagged with open-set .

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https://github.com/IDEA-Research/T-Rex

T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

interactive object-counting object-detection open-set text-prompt visual-prompt

Last synced: 07 Aug 2024

https://github.com/idea-research/t-rex

T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

interactive object-counting object-detection open-set text-prompt visual-prompt

Last synced: 30 Sep 2024

https://github.com/zhmiao/OpenLongTailRecognition-OLTR

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

computer-vision cvpr2019 deep-learning long-tail oltr open-long-tail-recognition open-set pytorch-implementation

Last synced: 31 Jul 2024

https://github.com/IDEA-Research/Grounding-DINO-1.5-API

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

foundation-model grounding-dino object-detection open-set open-vocabulary-detection open-world zero-shot-object-detection

Last synced: 26 Sep 2024

https://github.com/abhijitbendale/OSDN

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

deep-learning extract-features open-set openmax softmax softmax-regression

Last synced: 01 Aug 2024

https://github.com/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.

ai-safety anomaly-detection classification deep-learning machine-learning novelty-detection ood ood-detection open-set open-set-recognition osr out-of-distribution out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation

Last synced: 01 Aug 2024

https://github.com/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.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks

Last synced: 01 Aug 2024