Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: UniT: Unified Knowledge Transfer for Any-shot Object Detection and
  Segmentation   Methods for object detection and segmentation rely on large scale
instance-level annotations for training, which are difficult and time-consuming
to collect. Efforts to alleviate this look at varying degrees and quality of
supervision. Weakly-supervised approaches draw on image-level labels to build
detectors/segmentors, while zero/few-shot methods assume abundant
instance-level data for a set of base classes, and none to a few examples for
novel classes. This taxonomy has largely siloed algorithmic designs. In this
work, we aim to bridge this divide by proposing an intuitive and unified
semi-supervised model that is applicable to a range of supervision: from zero
to a few instance-level samples per novel class. For base classes, our model
learns a mapping from weakly-supervised to fully-supervised
detectors/segmentors. By learning and leveraging visual and lingual
similarities between the novel and base classes, we transfer those mappings to
obtain detectors/segmentors for novel classes; refining them with a few novel
class instance-level annotated samples, if available. The overall model is
end-to-end trainable and highly flexible. Through extensive experiments on
MS-COCO and Pascal VOC benchmark datasets we show improved performance in a
variety of settings.

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The categories of this paper are: physics
28
The categories of this paper are: alg-geom
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The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: math
22
The categories of this paper are: chao-dyn
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The categories of this paper are: cond-mat
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The categories of this paper are: astro-ph
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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: funct-an
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The categories of this paper are: hep-th
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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-ex