Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EGO-TOPO: Environment Affordances from Egocentric Video   First-person video naturally brings the use of a physical environment to the
forefront, since it shows the camera wearer interacting fluidly in a space
based on his intentions. However, current methods largely separate the observed
actions from the persistent space itself. We introduce a model for environment
affordances that is learned directly from egocentric video. The main idea is to
gain a human-centric model of a physical space (such as a kitchen) that
captures (1) the primary spatial zones of interaction and (2) the likely
activities they support. Our approach decomposes a space into a topological map
derived from first-person activity, organizing an ego-video into a series of
visits to the different zones. Further, we show how to link zones across
multiple related environments (e.g., from videos of multiple kitchens) to
obtain a consolidated representation of environment functionality. On
EPIC-Kitchens and EGTEA+, we demonstrate our approach for learning scene
affordances and anticipating future actions in long-form video.

6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex