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Context-Aware Region-Dependent Scale Proposals for Scale-Optimized Object Detection Using Super-Resolution

  • Published:2023 Issue: Volume:11 Page:122141-122153
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Akita Kazutoshi1ORCID,Ukita Norimichi1ORCID

Affiliation:

1. Toyota Technological Institute, Nagoya, Japan

Funder

Japan Society of the Promotion of Science (JSPS) KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference63 articles.

1. PAMS: Quantized Super-Resolution via Parameterized Max Scale

2. MMDetection: Open MMLab detection toolbox and benchmark;chen;ArXiv 1906 07155,2019

3. SRFlow: Learning the Super-Resolution Space with Normalizing Flow

4. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

5. LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

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