33 citations · 76 across the 8 of their papers we have counts for
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cs.CV2022
Similarity among the 2D-shapes and the analysis of dissimilarity scores
Karel Zimmermann
We present a conceptually simple and intuitive method to calculate and to measure the dissimilarities among 2D shapes. Several methods to interpret and to visualize the resulting d…
cs.CV2022★ 7 cited
Teachers in concordance for pseudo-labeling of 3D sequential data
Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych +3
Automatic pseudo-labeling is a powerful tool to tap into large amounts of sequential unlabeled data. It is specially appealing in safety-critical applications of autonomous driving…