Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning monocular depth estimation with unsupervised trinocular
  assumptions   Obtaining accurate depth measurements out of a single image represents a
fascinating solution to 3D sensing. CNNs led to considerable improvements in
this field, and recent trends replaced the need for ground-truth labels with
geometry-guided image reconstruction signals enabling unsupervised training.
Currently, for this purpose, state-of-the-art techniques rely on images
acquired with a binocular stereo rig to predict inverse depth (i.e., disparity)
according to the aforementioned supervision principle. However, these methods
suffer from well-known problems near occlusions, left image border, etc
inherited from the stereo setup. Therefore, in this paper, we tackle these
issues by moving to a trinocular domain for training. Assuming the central
image as the reference, we train a CNN to infer disparity representations
pairing such image with frames on its left and right side. This strategy allows
obtaining depth maps not affected by typical stereo artifacts. Moreover, being
trinocular datasets seldom available, we introduce a novel interleaved training
procedure enabling to enforce the trinocular assumption outlined from current
binocular datasets. Exhaustive experimental results on the KITTI dataset
confirm that our proposal outperforms state-of-the-art methods for unsupervised
monocular depth estimation trained on binocular stereo pairs as well as any
known methods relying on other cues.

4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
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The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio