TY - DATA
T1 - Extracted Features on AmsterTime Dataset
PY - 2022/04/12
AU - Burak Yildiz
AU - Seyran Khademi
UR - https://data.4tu.nl/articles/dataset/Extracted_Features_of_Amsterdam_Cross-time_Dataset/14572644/3
DO - 10.4121/14572644.v3
KW - features
KW - Amsterdam
KW - Cross-time
KW - deep learning
KW - SIFT features
KW - LIFT features
KW - ResNet features
KW - NetVLAD features
KW - VGGNet features
KW - AmsterTime
N2 - <p>This collection contains feature files where the features are extracted on AmsterTime 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/AmsterTime.<br>
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ER -