Scene Classification (unified classes)
2 papers with code • 2 benchmarks • 2 datasets
NYUv2
SUN RGB-D
Most implemented papers
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
pku-yuangroup/languagebind
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We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
tui-nicr/emsanet
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In order to evaluate our multi-task approach, we extend the annotations of the common RGB-D indoor datasets NYUv2 and SUNRGB-D for instance segmentation and orientation estimation.
