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Models/FPGA

FPGA

Reported on 27 benchmarks across 3 tasks · 1 paper · 27 SOTA

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

Computer Vision27 results

HyperspectralonPavia University
AA@200· 2020-11-11
99.83
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonPavia University
Kappa@200· 2020-11-11
0.9974
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonPavia University
OA@200· 2020-11-11
99.81
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonCASI University of Houston
Average Accuracy· 2020-11-11
88.44
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonCASI University of Houston
Kappa· 2020-11-11
0.8555
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonCASI University of Houston
Overall Accuracy· 2020-11-11
86.61
best: 95.36 (SSDGL)
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonSalinas
AA@200· 2020-11-11
99.91
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonSalinas
Kappa@200· 2020-11-11
0.9991
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
HyperspectralonSalinas
OA@200· 2020-11-11
99.92
best: 100 (JigsawHSI)
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonPavia University
AA@200· 2020-11-11
99.83
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonPavia University
Kappa@200· 2020-11-11
0.9974
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonPavia University
OA@200· 2020-11-11
99.81
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonCASI University of Houston
Average Accuracy· 2020-11-11
88.44
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonCASI University of Houston
Kappa· 2020-11-11
0.8555
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonCASI University of Houston
Overall Accuracy· 2020-11-11
86.61
best: 95.36 (SSDGL)
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonSalinas
AA@200· 2020-11-11
99.91
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonSalinas
Kappa@200· 2020-11-11
0.9991
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Image ClassificationonSalinas
OA@200· 2020-11-11
99.92
best: 100 (JigsawHSI)
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonPavia University
AA@200· 2020-11-11
99.83
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonPavia University
Kappa@200· 2020-11-11
0.9974
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonPavia University
OA@200· 2020-11-11
99.81
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonCASI University of Houston
Average Accuracy· 2020-11-11
88.44
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonCASI University of Houston
Kappa· 2020-11-11
0.8555
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonCASI University of Houston
Overall Accuracy· 2020-11-11
86.61
best: 95.36 (SSDGL)
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonSalinas
AA@200· 2020-11-11
99.91
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonSalinas
Kappa@200· 2020-11-11
0.9991
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670
Hyperspectral Image SegmentationonSalinas
OA@200· 2020-11-11
99.92
best: 100 (JigsawHSI)
SOTA
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification arXiv:2011.05670