Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised
  Correspondence Learning   Our target is to learn visual correspondence from unlabeled videos. We
develop LIIR, a locality-aware inter-and intra-video reconstruction framework
that fills in three missing pieces, i.e., instance discrimination, location
awareness, and spatial compactness, of self-supervised correspondence learning
puzzle. First, instead of most existing efforts focusing on intra-video
self-supervision only, we exploit cross video affinities as extra negative
samples within a unified, inter-and intra-video reconstruction scheme. This
enables instance discriminative representation learning by contrasting desired
intra-video pixel association against negative inter-video correspondence.
Second, we merge position information into correspondence matching, and design
a position shifting strategy to remove the side-effect of position encoding
during inter-video affinity computation, making our LIIR location-sensitive.
Third, to make full use of the spatial continuity nature of video data, we
impose a compactness-based constraint on correspondence matching, yielding more
sparse and reliable solutions. The learned representation surpasses
self-supervised state-of-the-arts on label propagation tasks including objects,
semantic parts, and keypoints.

18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex