... NYU Depth V2 datasets in Fig. 9. The NYU Depth V2 dataset has a different color property than the RRD Prambanan dataset. In the RRD Prambanan dataset, the types of colors displayed on the material differences are similar. That is why it ...
... depth values . For iBims - 1 benchmark [ 17 ] , we compute 5 similar metrics as for NYU - Depth - v2 plus the root mean square error in log - space ( log10 ) , planarity errors ( plan , orie ) , depth boundary errors ( acc , comp ) ...
... NYU Depth V2 dataset. The training on KITTI Dataset costs about 15h and 11.7GiB GPU memory and the training on NYU Depth V2 Dataset costs about 23 h and 8.9GiB GPU memory. The data augmentation applied on training set follows the method ...
... NYU - Depth V2 . We use NYU - Depth V2 [ 29 ] as the most important dataset for evaluation . Table 1 presents the performance comparison on the official test set of NYU - Depth V2 . Our proposed model shows the state - of - the - art ...
Object Detection In Adversarial Vision Mrinal Kanti Bhowmik. 4.1.7 NYU Depth V2 Dataset NYU Depth V2 [44] is another dataset that provides RGB-D images and dense annotations for various indoor scenes. It contains 1,449 RGB-D images ...
... NYU Depth V2 dataset, RESIDE dataset and Middlebury Stereo dataset. NYU Depth V2 Dataset. The dataset contains more than one thousand RGBD images and the raw images of this data are acquired by Microsoft's Kinect depth camera as shown ...
... NYU Depth V2 and Pascal VOC 2007, are split into images used for training and sequestered testing images. The NYU Depth V2 database is randomly split into training and testing scenes (with approximately half in each category). In the ...