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Found 3 papers, 2 papers with code
Multi-granularity Backprojection Transformer for Remote Sensing Image Super-Resolution
Backprojection networks have achieved promising super-resolution performance for nature images but not well be explored in the remote sensing image super-resolution (RSISR) field due to the high computation costs.
Detail-Preserving Transformer for Light Field Image Super-Resolution
DPT consists of two branches, with each associated with a Transformer for learning from an original or gradient image sequence.
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
In this paper, we present a novel Motion-Attentive Transition Network (MATNet) for zero-shot video object segmentation, which provides a new way of leveraging motion information to reinforce spatio-temporal object representation.
Ranked #9 on
Unsupervised Video Object Segmentation
on FBMS test
