most citedObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2022★ 1 cited

ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention

Dylan Auty, Krystian Mikolajczyk

While monocular depth estimation (MDE) is an important problem in computer vision, it is difficult due to the ambiguity that results from the compression of a 3D scene into only 2…

cs.CV2022

Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems

Dylan Auty, Krystian Mikolajczyk

Monocular depth estimation (MDE) aims to transform an RGB image of a scene into a pixelwise depth map from the same camera view. It is fundamentally ill-posed due to missing inform…