3.1、AHB dataset 3.2、Tianjin dataset 3.3、Daxing dataset 4、Experiments 4.1、Experimental results of baseline methods 4.2、Experimental results of deep learning based methods 5、Conclusion and future lines 其他 1)文献引用: 2)文献下载: 3)数据下载: Abstract 空间-时间融合(STF)旨在融合(时间上密集的)...
ST_LRT learns a proper underlying distribution for different datasets, and calculates an anomalous degree for each dataset based on a likelihood ratio test (LRT). It then aggregates the anomalous degrees of different datasets, using a skyline detection algorithm. ...
Spatiotemporal complete sea surface temperature (SST) dataset with higher accuracy and resolution is desirable for many studies in atmospheric science and ... Y Zhu,EL Kang,Y Bo,... - 《Photogrammetric Engineering & Remote Sensing Journal of the American Society of Photogrammetry》 被引量: 0发表...
test_cfg=dict(rcnn=dict(action_thr=0.002))) dataset_type = 'AVADataset' data_root = '/home/MPCLST/Dataset/rawframes' anno_root = '/home/MPCLST/Dataset/annotations' #ann_file_train = f'{anno_root}/ava_train_v2.1.csv' ann_file_train = f'{anno_root}/train.csv' #ann_file_val ...
statistics of region correspondences on the NYUDv2 dataset unlike small region, bigger regions can be matched more easiy, which thus provide adequate information for multi-view network Spatio-Temporal Data-Driven Pooling(STD2P) idea:refine the output of the deconvolution layer with superpixels and ag...
The cloud structures are firstly identified and tracked in satellite remote sensed images, after which heterogeneous cloud features and properties are extracted and integrated to form a unified dataset. The C4.5 decision tree algorithm and dependency network analysis are then employed to discover useful...
Table 1. Dataset. FieldTypeExplanation LicensePlate string License place of the vehicle Driver string Driver full name, hashed for anonymization Type string Entry type (location info, ignition on, ignition off, idling alarm, pause alarm) Address string Address generated from lat–long data using Go...
Spatio-temporal action localization and detection for human action recognition in big dataset[J]. Journal of Visual Communication & Image Representation, 2016, 41(11): 375-390.S Megrhi, M Jmal, W Souidene. Spatio-temporal action localization and detection for human action recognition in big ...
下面是卷积网络的结果比较(MNIST&objection detection dataset): 一些分析 1.导数近似曲线的选取及相关参数对于结果的影响:不同曲线最终结果的差异较小,参数ai太大或太小会导致结果很差。用曲线取近似脉冲活动的导数关键在于捕捉非线性特征,曲线的形状不是关键。
patterns that are not explicit in the data. Spatial data analysis distinguishes itself from classical data analysis in that spatial analysis focuses on locations, areas, distances, relationships and interactions of measurements that are usually