Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: In Defense of Grid Features for Visual Question Answering   Popularized as 'bottom-up' attention, bounding box (or region) based visual
features have recently surpassed vanilla grid-based convolutional features as
the de facto standard for vision and language tasks like visual question
answering (VQA). However, it is not clear whether the advantages of regions
(e.g. better localization) are the key reasons for the success of bottom-up
attention. In this paper, we revisit grid features for VQA, and find they can
work surprisingly well - running more than an order of magnitude faster with
the same accuracy (e.g. if pre-trained in a similar fashion). Through extensive
experiments, we verify that this observation holds true across different VQA
models (reporting a state-of-the-art accuracy on VQA 2.0 test-std, 72.71),
datasets, and generalizes well to other tasks like image captioning. As grid
features make the model design and training process much simpler, this enables
us to train them end-to-end and also use a more flexible network design. We
learn VQA models end-to-end, from pixels directly to answers, and show that
strong performance is achievable without using any region annotations in
pre-training. We hope our findings help further improve the scientific
understanding and the practical application of VQA. Code and features will be
made available.

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The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
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The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
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The categories of this paper are: gr-qc
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The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
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The categories of this paper are: q-bio