Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-Supervised Monocular Scene Decomposition and Depth Estimation   Self-supervised monocular depth estimation approaches either ignore
independently moving objects in the scene or need a separate segmentation step
to identify them. We propose MonoDepthSeg to jointly estimate depth and segment
moving objects from monocular video without using any ground-truth labels. We
decompose the scene into a fixed number of components where each component
corresponds to a region on the image with its own transformation matrix
representing its motion. We estimate both the mask and the motion of each
component efficiently with a shared encoder. We evaluate our method on three
driving datasets and show that our model clearly improves depth estimation
while decomposing the scene into separately moving components.

28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas