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Found 4 papers, 2 papers with code
RefQSR: Reference-based Quantization for Image Super-Resolution Networks
Single image super-resolution (SISR) aims to reconstruct a high-resolution image from its low-resolution observation.
Hierarchical Spatiotemporal Transformers for Video Object Segmentation
This paper presents a novel framework called HST for semi-supervised video object segmentation (VOS).
Video Object Segmentation-aware Video Frame Interpolation
In this paper, we propose a video object segmentation (VOS)-aware training framework called VOS-VFI that allows VFI models to interpolate frames with more precise object boundaries.
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
Nighttime semantic segmentation is especially challenging due to a lack of annotated nighttime images and a large domain gap from daytime images with sufficient annotation.
Ranked #8 on
Semantic Segmentation
on Dark Zurich
