If you owes a 32GB V100 Graphic Card or 2 * GTX 1080Ti Cards, you can just ignore the apex operation and run the codes on a single card, and increase the batch size to 64, the u can get a higher performance :). Since I suffered from severe poverty, I introduce the nvidia-apex to train the model in FP16 settings, so the training codes can be directly ran on a single RTX2070s, which is very friendly to proletarians like me. It is mainly forked from video-person-reid and reid-strong-baseline. Introducing the spatial-temporal attention in attribute recognition process into Re-ID process. 1 I 2 TIME(hours) ADULT The ozidation of choline to betaine and the phosphorylati. Attribute-driven Spatio-Temporal Attention 5 OxidationodCholine 825 lo B 6 2-2DAY 7DAYFIG. The batch-hard triplet loss frequently used in video-based person Re-ID suffers from the Distanc eVariance among Different Positives(DVDP) problem.Īttribute-aware Identity-hard Triplet Loss to solve the DVDP.Ģ. Attribute-aware Identity-hard Triplet Loss To achieve a complete model of video-based person Re-ID, a multitask framework with Attribute-driven Spatio-Temporal Attention (ASTA) mechanism is also proposed. This repository contains a project which firstly introducing the pedestrain attribute information into video-based Re-ID, we address this issue by introducing a new metric learning method called Attribute-aware Identity-hard Triplet Loss (AITL), which reduces the intra-class variation among positive samples via calculating attribute distance. Unsourced materials may end up being challenged and removed.Find sources: - ( December 2008) iRip2. DVD24 Microsoft Windows 8.1 - 64 Bit Update 3. Identity-hard Triplet Loss for Video-based Person Re-identification},Īuthor=, MacOS Sierra for Windows macOS Sierra for Windows with VMware Workstation.
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