MEMORYOrigin-destination demand prediction is a critical task in the field of intelligent transportation systems. However, accurately modeling the complex spatial-temporal dependencies presents significant challenges, which arises from various factors, including spatial, temporal, and external influences such ...
然而这些方法处理的是固定长度窗口的图像,不能建模较长的依耐性,Tubelet Proposal Network开始考虑建模长时间的信息,但是速度较慢,对tubelet的初始化依赖严重。 为了解决这些问题,本文提出Spatial-Temporal memory Network(STMN),用一个网络统一建模长时间的外观和运动。它的核心为Spatial-Temporal Memory Module(STMM),...
Effect of alignment on spatial-temporal memory. In the first and second rows, we show the detection and the visualization of the spatial-temporal memory (by computing theL2 norm across feature channels at each spatial location to get a saliency map), respectively, with MatchTrans alignment. The...
11. Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity 作者:Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang 机构:中国科学技术大学 关键词:交通预测,大规模时空图,子图 ...
Video Object Detection with an Aligned Spatial-Temporal Memory,Fanyi XiaoandYong Jae Leein ECCV 2018.[Bibtex] Getting Started Installation The following installation procedure is tested under: Ubuntu 16.04 CUDA 9.0 Torch 7 Create a directory that we call$ROOT(here we set$ROOTas~/code/VIDfor ex...
11. Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity 12. A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq 13. Learning Hierarchy-Enhanced POI Category Representations Using Disentangled...
解决第二个挑战:从所有的源城市中学习一个基于全局模式的时空记忆(memory),并将其转移到一个目标城市,以支持长期模式。描述和存储长期时空模式的记忆,与ST-net以端到端的方式联合训练。 问题定义 y^*_{r_{c_t},k_{c_t+1}}=argmax_{y_{r_{c_t},k_{c_t+1}}}p(y_{r_{c_t},k_{c_t+1...
(2020). Memory aggregation networks for efficient interactive video object segmentation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 10,363–10,372). Piscataway: IEEE. Google Scholar Benard, A., & Gygli, M. (2018). Interactive video object ...
We introduce Spatial-Temporal Memory Networks for video object detection. At its core, a novel Spatial-Temporal Memory module (STMM) serves as the recurrent computation unit to model long-term temporal appearance and motion dynamics. The STMM's design enables full integration of pretrained backbone...
Action ClassificationKinetics-400Side4Video (EVA, ViT-E/14)Acc@188.6# 22 Compare Acc@598.2# 10 Compare Video RetrievalMSR-VTT-1kASide4Videotext-to-video Mean Rank12.8# 13 Compare text-to-video R@152.3# 14 Compare text-to-video R@575.5# 19 ...