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Projects in Awesome Lists tagged with open-set-recognition

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

https://github.com/icgy96/arpl

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

open-set-recognition openset openset-classification openset-recognition out-of-distribution-detection

Last synced: 25 Mar 2025

https://github.com/LAMDA-CL/CVPR21-Proser

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

open-set-recognition open-world

Last synced: 08 May 2025

https://github.com/MrtnMndt/OpenVAE_ContinualLearning

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

continual-learning deep-learning open-set-recognition pytorch variational-autoencoder

Last synced: 08 May 2025

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: 05 Apr 2025

https://github.com/pris-cv/mutual-to-separate

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

domain-adaptation open-set open-set-domain-adaptation open-set-recognition

Last synced: 24 Apr 2025

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: 05 Apr 2025

https://github.com/andrewwango/open-set-resnet

Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.

aws-sagemaker deep-learning image-classification open-set-recognition pytorch transfer-learning

Last synced: 10 Apr 2025

https://github.com/glhr/ood-labelnoise

"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?" (CVPR 2024)

aleatoric-uncertainty image-classification label-noise noisy-labels ood-detection open-set-recognition out-of-distribution-detection

Last synced: 28 Mar 2025

https://github.com/RenHuan1999/FungiCLEF2023-UstcAIGroup

1st Place Code for FungiCLEF 2023 Competition from UstcAIGroup

fine-grained-visual-categorization fungiclef longtail open-set-recognition

Last synced: 05 Apr 2025

https://github.com/zjysteven/sio

Official PyTorch implementation for "SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection"

novelty-detection ood-detection open-set-recognition out-of-distribution-detection

Last synced: 31 Mar 2025