Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: What Would You Expect? Anticipating Egocentric Actions with
  Rolling-Unrolling LSTMs and Modality Attention   Egocentric action anticipation consists in understanding which objects the
camera wearer will interact with in the near future and which actions they will
perform. We tackle the problem proposing an architecture able to anticipate
actions at multiple temporal scales using two LSTMs to 1) summarize the past,
and 2) formulate predictions about the future. The input video is processed
considering three complimentary modalities: appearance (RGB), motion (optical
flow) and objects (object-based features). Modality-specific predictions are
fused using a novel Modality ATTention (MATT) mechanism which learns to weigh
modalities in an adaptive fashion. Extensive evaluations on two large-scale
benchmark datasets show that our method outperforms prior art by up to +7% on
the challenging EPIC-Kitchens dataset including more than 2500 actions, and
generalizes to EGTEA Gaze+. Our approach is also shown to generalize to the
tasks of early action recognition and action recognition. Our method is ranked
first in the public leaderboard of the EPIC-Kitchens egocentric action
anticipation challenge 2019. Please see our web pages for code and examples:
http://iplab.dmi.unict.it/rulstm - https://github.com/fpv-iplab/rulstm.

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The categories of this paper are: funct-an
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The categories of this paper are: supr-con
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The categories of this paper are: ao-sci
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: solv-int
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The categories of this paper are: math
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The categories of this paper are: eess
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The categories of this paper are: adap-org
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The categories of this paper are: comp-gas