Semi-supervised 2D and 3D landmark labeling
1 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
MBW: Multi-view Bootstrapping in the Wild
mosamdabhi/mbw
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Our Multi-view Bootstrapping in the Wild (MBW) approach demonstrates impressive results on standard human datasets, as well as tigers, cheetahs, fish, colobus monkeys, chimpanzees, and flamingos from videos captured casually in a zoo.
