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Extracted Features of Cross-time Amsterdam Dataset

dataset
posted on 08.06.2021, 06:19 by Burak Yildiz, Seyran Khademi
This collection contains feature files where the features are extracted on Cross-time Amsterdam dataset using various methods and models such as SIFT, LIFT, and pre-trained VGG-16, ResNets, NetVLAD, AP-GeM and supervisely and self-supervisely trained models. The details of feature extraction procedure and other details can be found on https://github.com/seyrankhademi/cross-time-dataset.

History

Publisher

4TU.ResearchData

Geolocation

Amsterdam

Format

Pickle file

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science Intelligent Systems