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Models/Im2GPS (... 28m database)

Im2GPS (... 28m database)

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision5 results

  • Image ClassificationonIm2GPS
    City level (25 km)· 2017-05-13
    33.3
    best: 43 (ISNs (M, f*, S3))
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • Image ClassificationonIm2GPS
    Continent level (2500 km)· 2017-05-13
    73.4
    best: 91.1 (PIGEOTTO)
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • Image ClassificationonIm2GPS
    Country level (750 km)· 2017-05-13
    61.6
    best: 82.3 (PIGEOTTO)
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • Image ClassificationonIm2GPS
    Region level (200 km)· 2017-05-13
    47.7
    best: 63.3 (PIGEOTTO)
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • Image ClassificationonIm2GPS
    Street level (1 km)· 2017-05-13
    14.4
    best: 16.9 (ISNs (M, f*, S3))
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838

Graphs5 results

  • 4K 60FpsonIm2GPS
    City level (25 km)· 2017-05-13
    33.3
    best: 43 (ISNs (M, f*, S3))
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • 4K 60FpsonIm2GPS
    Continent level (2500 km)· 2017-05-13
    73.4
    best: 91.1 (PIGEOTTO)
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • 4K 60FpsonIm2GPS
    Country level (750 km)· 2017-05-13
    61.6
    best: 82.3 (PIGEOTTO)
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • 4K 60FpsonIm2GPS
    Region level (200 km)· 2017-05-13
    47.7
    best: 63.3 (PIGEOTTO)
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838
  • 4K 60FpsonIm2GPS
    Street level (1 km)· 2017-05-13
    14.4
    best: 16.9 (ISNs (M, f*, S3))
    SOTA
    Revisiting IM2GPS in the Deep Learning EraarXiv:1705.04838