Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Weakly Supervised Object Detection with Pointwise Mutual Information   In this work a novel approach for weakly supervised object detection that
incorporates pointwise mutual information is presented. A fully convolutional
neural network architecture is applied in which the network learns one filter
per object class. The resulting feature map indicates the location of objects
in an image, yielding an intuitive representation of a class activation map.
While traditionally such networks are learned by a softmax or binary logistic
regression (sigmoid cross-entropy loss), a learning approach based on a cosine
loss is introduced. A pointwise mutual information layer is incorporated in the
network in order to project predictions and ground truth presence labels in a
non-categorical embedding space. Thus, the cosine loss can be employed in this
non-categorical representation. Besides integrating image level annotations, it
is shown how to integrate point-wise annotations using a Spatial Pyramid
Pooling layer. The approach is evaluated on the VOC2012 dataset for
classification, point localization and weakly supervised bounding box
localization. It is shown that the combination of pointwise mutual information
and a cosine loss eases the learning process and thus improves the accuracy.
The integration of coarse point-wise localizations further improves the results
at minimal annotation costs.

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The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
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The categories of this paper are: bayes-an
8
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: patt-sol
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The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph