Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object
  Detectors   Recent works on two-stage cross-domain detection have widely explored the
local feature patterns to achieve more accurate adaptation results. These
methods heavily rely on the region proposal mechanisms and ROI-based
instance-level features to design fine-grained feature alignment modules with
respect to the foreground objects. However, for one-stage detectors, it is hard
or even impossible to obtain explicit instance-level features in the detection
pipelines. Motivated by this, we propose an Implicit Instance-Invariant Network
(I3Net), which is tailored for adapting one-stage detectors and implicitly
learns instance-invariant features via exploiting the natural characteristics
of deep features in different layers. Specifically, we facilitate the
adaptation from three aspects: (1) Dynamic and Class-Balanced Reweighting
(DCBR) strategy, which considers the coexistence of intra-domain and
intra-class variations to assign larger weights to those sample-scarce
categories and easy-to-adapt samples; (2) Category-aware Object Pattern
Matching (COPM) module, which boosts the cross-domain foreground objects
matching guided by the categorical information and suppresses the uninformative
background features; (3) Regularized Joint Category Alignment (RJCA) module,
which jointly enforces the category alignment at different domain-specific
layers with a consistency regularization. Experiments reveal that I3Net exceeds
the state-of-the-art performance on benchmark datasets.

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The categories of this paper are: eess
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The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: cmp-lg
2
The categories of this paper are: math
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The categories of this paper are: nlin
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The categories of this paper are: math-ph
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The categories of this paper are: supr-con
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The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph