Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Partially Supervised Multi-Task Network for Single-View Dietary
  Assessment   Food volume estimation is an essential step in the pipeline of dietary
assessment and demands the precise depth estimation of the food surface and
table plane. Existing methods based on computer vision require either
multi-image input or additional depth maps, reducing convenience of
implementation and practical significance. Despite the recent advances in
unsupervised depth estimation from a single image, the achieved performance in
the case of large texture-less areas needs to be improved. In this paper, we
propose a network architecture that jointly performs geometric understanding
(i.e., depth prediction and 3D plane estimation) and semantic prediction on a
single food image, enabling a robust and accurate food volume estimation
regardless of the texture characteristics of the target plane. For the training
of the network, only monocular videos with semantic ground truth are required,
while the depth map and 3D plane ground truth are no longer needed.
Experimental results on two separate food image databases demonstrate that our
method performs robustly on texture-less scenarios and is superior to
unsupervised networks and structure from motion based approaches, while it
achieves comparable performance to fully-supervised methods.

23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol