Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic
  Segmentation   Few-shot semantic segmentation addresses the learning task in which only few
images with ground truth pixel-level labels are available for the novel classes
of interest. One is typically required to collect a large mount of data (i.e.,
base classes) with such ground truth information, followed by meta-learning
strategies to address the above learning task. When only image-level semantic
labels can be observed during both training and testing, it is considered as an
even more challenging task of weakly supervised few-shot semantic segmentation.
To address this problem, we propose a novel meta-learning framework, which
predicts pseudo pixel-level segmentation masks from a limited amount of data
and their semantic labels. More importantly, our learning scheme further
exploits the produced pixel-level information for query image inputs with
segmentation guarantees. Thus, our proposed learning model can be viewed as a
pixel-level meta-learner. Through extensive experiments on benchmark datasets,
we show that our model achieves satisfactory performances under fully
supervised settings, yet performs favorably against state-of-the-art methods
under weakly supervised settings.

13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys