[TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition
Open Set Recognition
[ICCV 2021 Oral] Deep Evidential Action Recognition
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
[WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place
Open set recognision
Open-set detection using Wasserstein Distance and Spectral Normalisation
A classification model to classify the known classes and recognition of unknown/alien classes.
In this project we add differential privacy into an openset recognizer.to implement DP we use opacus library.
Driver recognition and Analysis System, that consists of: active learning module for reduction of annotated images required and training time, a motion blur detection module for identification and localization of blur to retake an image in case of blurry images, and an open set recognition module to reduce false positives and increase accuracy.
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