Skip to main content

Table 1 Methods we validated in the splits of training data in Caltech Pedestrian Detection Benchmark [8], sorted by validation error rates in descending order (corresponding to Fig. 3)

From: Pedestrian detection with motion features via two-stream ConvNets

Method Spatial feature Temporal feature Temporal pre-training Temporal input
ACF [19] Hand-crafted - - -
CCF [16] VGGNet-16 - - -
CCF + VGG-SF VGGNet -16 VGGNet-16 ILSVRC2012 SF
CCF + SDt VGGNet-16 SDt itself - SDt
CCF + VGG-SDt VGGNet-16 VGGNet-16 ILSVRC2012 SDt
CCF + UCFAlex-SDt VGGNet-16 UCFAlex UCF-101 SDt