Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Assembly101: A Large-Scale Multi-View Video Dataset for Understanding
  Procedural Activities   Assembly101 is a new procedural activity dataset featuring 4321 videos of
people assembling and disassembling 101 "take-apart" toy vehicles. Participants
work without fixed instructions, and the sequences feature rich and natural
variations in action ordering, mistakes, and corrections. Assembly101 is the
first multi-view action dataset, with simultaneous static (8) and egocentric
(4) recordings. Sequences are annotated with more than 100K coarse and 1M
fine-grained action segments, and 18M 3D hand poses. We benchmark on three
action understanding tasks: recognition, anticipation and temporal
segmentation. Additionally, we propose a novel task of detecting mistakes. The
unique recording format and rich set of annotations allow us to investigate
generalization to new toys, cross-view transfer, long-tailed distributions, and
pose vs. appearance. We envision that Assembly101 will serve as a new challenge
to investigate various activity understanding problems.

26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
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The categories of this paper are: eess