Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Investigate the Essence of Long-Tailed Recognition from a Unified
  Perspective   As the data scale grows, deep recognition models often suffer from
long-tailed data distributions due to the heavy imbalanced sample number across
categories. Indeed, real-world data usually exhibit some similarity relation
among different categories (e.g., pigeons and sparrows), called category
similarity in this work. It is doubly difficult when the imbalance occurs
between such categories with similar appearances. However, existing solutions
mainly focus on the sample number to re-balance data distribution. In this
work, we systematically investigate the essence of the long-tailed problem from
a unified perspective. Specifically, we demonstrate that long-tailed
recognition suffers from both sample number and category similarity.
Intuitively, using a toy example, we first show that sample number is not the
unique influence factor for performance dropping of long-tailed recognition.
Theoretically, we demonstrate that (1) category similarity, as an inevitable
factor, would also influence the model learning under long-tailed distribution
via similar samples, (2) using more discriminative representation methods
(e.g., self-supervised learning) for similarity reduction, the classifier bias
can be further alleviated with greatly improved performance. Extensive
experiments on several long-tailed datasets verify the rationality of our
theoretical analysis, and show that based on existing state-of-the-arts
(SOTAs), the performance could be further improved by similarity reduction. Our
investigations highlight the essence behind the long-tailed problem, and claim
several feasible directions for future work.

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The categories of this paper are: physics
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The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
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The categories of this paper are: hep-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: math
18
The categories of this paper are: econ
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The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
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The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: alg-geom
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ph