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Models/Im2GPS ([L] KNN, sigma=4)

Im2GPS ([L] KNN, sigma=4)

Reported on 12 benchmarks across 2 tasks · 1 paper

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

Computer Vision6 results

Image ClassificationonIm2GPS
City level (25 km)· 2017-05-13
33.3
best: 43 (ISNs (M, f*, S3))
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
Image ClassificationonIm2GPS
Continent level (2500 km)· 2017-05-13
71.3
best: 91.1 (PIGEOTTO)
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
Image ClassificationonIm2GPS
Country level (750 km)· 2017-05-13
57.4
best: 82.3 (PIGEOTTO)
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
Image ClassificationonIm2GPS
Region level (200 km)· 2017-05-13
44.3
best: 63.3 (PIGEOTTO)
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
Image ClassificationonIm2GPS
Street level (1 km)· 2017-05-13
12.2
best: 16.9 (ISNs (M, f*, S3))
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
Image ClassificationonIm2GPS
Reference images
0

Graphs6 results

4K 60FpsonIm2GPS
City level (25 km)· 2017-05-13
33.3
best: 43 (ISNs (M, f*, S3))
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
4K 60FpsonIm2GPS
Continent level (2500 km)· 2017-05-13
71.3
best: 91.1 (PIGEOTTO)
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
4K 60FpsonIm2GPS
Country level (750 km)· 2017-05-13
57.4
best: 82.3 (PIGEOTTO)
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
4K 60FpsonIm2GPS
Region level (200 km)· 2017-05-13
44.3
best: 63.3 (PIGEOTTO)
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
4K 60FpsonIm2GPS
Street level (1 km)· 2017-05-13
12.2
best: 16.9 (ISNs (M, f*, S3))
Revisiting IM2GPS in the Deep Learning Era arXiv:1705.04838
4K 60FpsonIm2GPS
Reference images
0