A classification model to classify the known classes and recognition of unknown/alien classes.
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Updated
Sep 30, 2021 - Python
A classification model to classify the known classes and recognition of unknown/alien classes.
Open-set detection using Wasserstein Distance and Spectral Normalisation
In this project we add differential privacy into an openset recognizer.to implement DP we use opacus library.
Open set recognision
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.
Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
[ICCV 2021 Oral] Deep Evidential Action Recognition
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
Open Set Recognition
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