Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SEA: Bridging the Gap Between One- and Two-stage Detector Distillation
  via SEmantic-aware Alignment   We revisit the one- and two-stage detector distillation tasks and present a
simple and efficient semantic-aware framework to fill the gap between them. We
address the pixel-level imbalance problem by designing the category anchor to
produce a representative pattern for each category and regularize the
topological distance between pixels and category anchors to further tighten
their semantic bonds. We name our method SEA (SEmantic-aware Alignment)
distillation given the nature of abstracting dense fine-grained information by
semantic reliance to well facilitate distillation efficacy. SEA is well adapted
to either detection pipeline and achieves new state-of-the-art results on the
challenging COCO object detection task on both one- and two-stage detectors.
Its superior performance on instance segmentation further manifests the
generalization ability. Both 2x-distilled RetinaNet and FCOS with ResNet50-FPN
outperform their corresponding 3x ResNet101-FPN teacher, arriving 40.64 and
43.06 AP, respectively. Code will be made publicly available.

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The categories of this paper are: econ
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The categories of this paper are: bayes-an
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The categories of this paper are: supr-con
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The categories of this paper are: atom-ph
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The categories of this paper are: physics
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The categories of this paper are: alg-geom
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The categories of this paper are: astro-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: q-alg
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The categories of this paper are: nlin
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The categories of this paper are: eess
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The categories of this paper are: nucl-ex
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The categories of this paper are: stat
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The categories of this paper are: mtrl-th