Scene Classification (unified classes)
3 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Scene Classification (unified classes)
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
NYUv2
SUN RGB-D
Most implemented papers
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
pku-yuangroup/languagebind
•
•
We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
PanopticNDT: Efficient and Robust Panoptic Mapping
As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial.
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
tui-nicr/emsanet
•
•
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.
