Extracted Features of Cross-time Amsterdam Dataset
收藏DataCite Commons2022-08-30 更新2024-07-03 收录
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https://data.4tu.nl/articles/_/14572644/2
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资源简介：
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>
提供机构：
4TU.ResearchData
创建时间：
2021-06-08
