Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised
  Object Detection   In this paper, we delve into two key techniques in Semi-Supervised Object
Detection (SSOD), namely pseudo labeling and consistency training. We observe
that these two techniques currently neglect some important properties of object
detection, hindering efficient learning on unlabeled data. Specifically, for
pseudo labeling, existing works only focus on the classification score yet fail
to guarantee the localization precision of pseudo boxes; For consistency
training, the widely adopted random-resize training only considers the
label-level consistency but misses the feature-level one, which also plays an
important role in ensuring the scale invariance. To address the problems
incurred by noisy pseudo boxes, we design Noisy Pseudo box Learning (NPL) that
includes Prediction-guided Label Assignment (PLA) and Positive-proposal
Consistency Voting (PCV). PLA relies on model predictions to assign labels and
makes it robust to even coarse pseudo boxes; while PCV leverages the regression
consistency of positive proposals to reflect the localization quality of pseudo
boxes. Furthermore, in consistency training, we propose Multi-view
Scale-invariant Learning (MSL) that includes mechanisms of both label- and
feature-level consistency, where feature consistency is achieved by aligning
shifted feature pyramids between two images with identical content but varied
scales. On COCO benchmark, our method, termed PSEudo labeling and COnsistency
training (PseCo), outperforms the SOTA (Soft Teacher) by 2.0, 1.8, 2.0 points
under 1%, 5%, and 10% labelling ratios, respectively. It also significantly
improves the learning efficiency for SSOD, e.g., PseCo halves the training time
of the SOTA approach but achieves even better performance.

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The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
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The categories of this paper are: econ
27
The categories of this paper are: comp-gas
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The categories of this paper are: physics
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The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph