Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning   Zero-shot learning extends the conventional object classification to the
unseen class recognition by introducing semantic representations of classes.
Existing approaches predominantly focus on learning the proper mapping function
for visual-semantic embedding, while neglecting the effect of learning
discriminative visual features. In this paper, we study the significance of the
discriminative region localization. We propose a semantic-guided
multi-attention localization model, which automatically discovers the most
discriminative parts of objects for zero-shot learning without any human
annotations. Our model jointly learns cooperative global and local features
from the whole object as well as the detected parts to categorize objects based
on semantic descriptions. Moreover, with the joint supervision of embedding
softmax loss and class-center triplet loss, the model is encouraged to learn
features with high inter-class dispersion and intra-class compactness. Through
comprehensive experiments on three widely used zero-shot learning benchmarks,
we show the efficacy of the multi-attention localization and our proposed
approach improves the state-of-the-art results by a considerable margin.

31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th