GradNet

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision4 results

Object TrackingonOTB-2015
Precision· 2019-09-15
0.861
best: 0.946 (PiVOT-L)
SOTA
GradNet: Gradient-Guided Network for Visual Object Tracking arXiv:1909.06800
Visual Object TrackingonOTB-2015
Precision· 2019-09-15
0.861
best: 0.946 (PiVOT-L)
SOTA
GradNet: Gradient-Guided Network for Visual Object Tracking arXiv:1909.06800
Object TrackingonVOT2017
Expected Average Overlap (EAO)· 2019-09-15
0.247
best: 0.397 (GFS-DCF)
GradNet: Gradient-Guided Network for Visual Object Tracking arXiv:1909.06800
Visual Object TrackingonVOT2017
Expected Average Overlap (EAO)· 2019-09-15
0.247
best: 0.397 (GFS-DCF)
GradNet: Gradient-Guided Network for Visual Object Tracking arXiv:1909.06800