Extracted Features of Cross-time Amsterdam Dataset

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.<br>本特征数据集集合包含多组特征文件，所有特征均基于跨时间阿姆斯特丹数据集（Cross-time Amsterdam dataset），通过多种方法与模型提取得到，涵盖尺度不变特征变换（SIFT）、LIFT、预训练VGG-16、残差网络（ResNets）、NetVLAD、AP-GeM以及有监督训练与自监督训练的模型。特征提取流程及其他相关细节可访问以下链接查阅：https://github.com/seyrankhademi/cross-time-dataset。