Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Weakly Supervised Few-shot Object Segmentation using Co-Attention with
  Visual and Semantic Embeddings   Significant progress has been made recently in developing few-shot object
segmentation methods. Learning is shown to be successful in few-shot
segmentation settings, using pixel-level, scribbles and bounding box
supervision. This paper takes another approach, i.e., only requiring
image-level label for few-shot object segmentation. We propose a novel
multi-modal interaction module for few-shot object segmentation that utilizes a
co-attention mechanism using both visual and word embedding. Our model using
image-level labels achieves 4.8% improvement over previously proposed
image-level few-shot object segmentation. It also outperforms state-of-the-art
methods that use weak bounding box supervision on PASCAL-5i. Our results show
that few-shot segmentation benefits from utilizing word embeddings, and that we
are able to perform few-shot segmentation using stacked joint visual semantic
processing with weak image-level labels. We further propose a novel setup,
Temporal Object Segmentation for Few-shot Learning (TOSFL) for videos. TOSFL
can be used on a variety of public video data such as Youtube-VOS, as
demonstrated in both instance-level and category-level TOSFL experiments.

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The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: gr-qc
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The categories of this paper are: comp-gas
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The categories of this paper are: econ
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The categories of this paper are: hep-lat
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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: chem-ph
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The categories of this paper are: math
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The categories of this paper are: alg-geom
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: physics