Extracted Features of Amsterdam Cross-time Dataset

This collection contains feature files where the features are extracted on Amsterdam Cross-time 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>本数据集集合包含若干特征文件，所有特征均基于阿姆斯特丹跨时间数据集（Amsterdam Cross-time Dataset），通过多种方法与模型提取得到，所用方法及模型包括尺度不变特征变换（Scale-Invariant Feature Transform，SIFT）、LIFT、预训练VGG-16、残差网络（ResNets）、NetVLAD、AP-GeM，以及基于Supervisely训练的模型与自监督训练的模型。特征提取流程的详细信息及其他相关细节可通过以下链接获取：https://github.com/seyrankhademi/cross-time-dataset。