Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mean Box Pooling: A Rich Image Representation and Output Embedding for
  the Visual Madlibs Task   We present Mean Box Pooling, a novel visual representation that pools over
CNN representations of a large number, highly overlapping object proposals. We
show that such representation together with nCCA, a successful multimodal
embedding technique, achieves state-of-the-art performance on the Visual
Madlibs task. Moreover, inspired by the nCCA's objective function, we extend
classical CNN+LSTM approach to train the network by directly maximizing the
similarity between the internal representation of the deep learning
architecture and candidate answers. Again, such approach achieves a significant
improvement over the prior work that also uses CNN+LSTM approach on Visual
Madlibs.

7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex