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JCS Net : joint classification and super resolution network for small scale pedestrian detection in surveillance images

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Figure

Fig. 1. The proposed JCS-Net for small-scale pedestrian detection by joint classification and super-resolution
Fig. 2. Multi-layer Channel Features (MCF) based on HOG+LUV and eachlayer of CNN (i.e., VGG16)
Fig. 4. The illustration of multi-scale MCF. It consists of multiple detectors.MCF-V means that MCF is constructed by HOG+LUV and the fine-tunedVGG16, which is used for large-scale pedestrian detection
Fig. 5. The reconstructed pedestrians by super-resolution sub-network of JCS-Net are compared to the interpolated pedestrians
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