Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Center and Scale Prediction: Anchor-free Approach for Pedestrian and
  Face Detection   Object detection generally requires sliding-window classifiers in tradition
or anchor box based predictions in modern deep learning approaches. However,
either of these approaches requires tedious configurations in boxes. In this
paper, we provide a new perspective where detecting objects is motivated as a
high-level semantic feature detection task. Like edges, corners, blobs and
other feature detectors, the proposed detector scans for feature points all
over the image, for which the convolution is naturally suited. However, unlike
these traditional low-level features, the proposed detector goes for a
higher-level abstraction, that is, we are looking for central points where
there are objects, and modern deep models are already capable of such a
high-level semantic abstraction. Besides, like blob detection, we also predict
the scales of the central points, which is also a straightforward convolution.
Therefore, in this paper, pedestrian and face detection is simplified as a
straightforward center and scale prediction task through convolutions. This
way, the proposed method enjoys a box-free setting. Though structurally simple,
it presents competitive accuracy on several challenging benchmarks, including
pedestrian detection and face detection. Furthermore, a cross-dataset
evaluation is performed, demonstrating a superior generalization ability of the
proposed method. Code and models can be accessed at
(https://github.com/liuwei16/CSP and https://github.com/hasanirtiza/Pedestron).

20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
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The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
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The categories of this paper are: q-bio
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: q-fin