1.8k citations · 1.9k across the 8 of their papers we have counts for
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Learning What to Learn for Video Object Segmentation
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan +4
Video object segmentation (VOS) is a highly challenging problem, since the target object is only defined during inference with a given first-frame reference mask. The problem of ho…
Learning Fast and Robust Target Models for Video Object Segmentation
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan +2
Video object segmentation (VOS) is a highly challenging problem since the initial mask, defining the target object, is only given at test-time. The main difficulty is to effectivel…
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths
Andreas Robinson
Recent neural network models for algorithmic tasks have led to significant improvements in extrapolation to sequences much longer than training, but it remains an outstanding probl…