Abstract: Depth information provides valuable insights into the 3D structure, especially the outline of objects, which can be utilized to enhance semantic segmentation. However, a naive fusion of ...
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images.
Abstract: Image steganography discreetly embeds secret information within a carrier, allowing covert communication and enabling the receiver to extract the concealed data when needed. Previous ...
A 3D scene representing outdoor with foreground, midground, background depth layers containing person, car, tree. person is standing. car measures approximately 200x150 pixels.
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