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This repository contains the datasets used in the paper "Neural Network Adaption for Depth Sensor Replication". They contain RGB-D data that was recorded using iPads where the Structure_Sensor set was recorded using an Occipital Structure Sensor while Apple_Lidar used the inbuilt iPad LiDAR sensor with enabled smoothing by ARKit. The Structure Sensor data is scaled so that the maximum value is 4 meters while the LiDAR data is scaled to 8 meters as it provides more accuracy at longer ranges.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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