9 citations · 28 across the 7 of their papers we have counts for
3 papers · 1 filter
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Stanislav Dereka, Ivan Karpukhin, Maksim Zhdanov +1
Deep ensembles are capable of achieving state-of-the-art results in classification and out-of-distribution (OOD) detection. However, their effectiveness is limited due to the homog…
Deep Image Retrieval is not Robust to Label Noise
Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov
Large-scale datasets are essential for the success of deep learning in image retrieval. However, manual assessment errors and semi-supervised annotation techniques can lead to labe…
LRWR: Large-Scale Benchmark for Lip Reading in Russian language
Evgeniy Egorov, Vasily Kostyumov, Mikhail Konyk +1
Lipreading, also known as visual speech recognition, aims to identify the speech content from videos by analyzing the visual deformations of lips and nearby areas. One of the signi…