Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DSAM: A Distance Shrinking with Angular Marginalizing Loss for High
  Performance Vehicle Re-identificatio   Vehicle Re-identification (ReID) is an important yet challenging problem in
computer vision. Compared to other visual objects like faces and persons,
vehicles simultaneously exhibit much larger intraclass viewpoint variations and
interclass visual similarities, making most exiting loss functions designed for
face recognition and person ReID unsuitable for vehicle ReID. To obtain a
high-performance vehicle ReID model, we present a novel Distance Shrinking with
Angular Marginalizing (DSAM) loss function to perform hybrid learning in both
the Original Feature Space (OFS) and the Feature Angular Space (FAS) using the
local verification and the global identification information. Specifically, it
shrinks the distance between samples of the same class locally in the Original
Feature Space while keeps samples of different classes far away in the Feature
Angular Space. The shrinking and marginalizing operations are performed during
each iteration of the training process and are suitable for different SoftMax
based loss functions. We evaluate the DSAM loss function on three large vehicle
ReID datasets with detailed analyses and extensive comparisons with many
competing vehicle ReID methods. Experimental results show that our DSAM loss
enhances the SoftMax loss by a large margin on the PKU-VD1-Large dataset:
10.41% for mAP, 5.29% for cmc1, and 4.60% for cmc5. Moreover, the mAP is
increased by 9.34% on the PKU-VehicleID dataset and 6.13% on the VeRi-776
dataset. Source code will be released to facilitate further studies in this
research direction.

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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: cond-mat
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The categories of this paper are: q-fin
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The categories of this paper are: funct-an
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The categories of this paper are: chem-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: bayes-an
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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-ex