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Language-Based Depth Hints for Monocular Depth Estimation
Dylan Auty, Krystian Mikolajczyk
Monocular depth estimation (MDE) is inherently ambiguous, as a given image may result from many different 3D scenes and vice versa. To resolve this ambiguity, an MDE system must ma…
Learning to Project for Cross-Task Knowledge Distillation
Dylan Auty, Roy Miles, Benedikt Kolbeinsson +1
Traditional knowledge distillation (KD) relies on a proficient teacher trained on the target task, which is not always available. In this setting, cross-task distillation can be us…
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…
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…