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Found 4 papers, 2 papers with code
Unified Object Detector for Different Modalities based on Vision Transformers
We evaluate our unified model on the SUN RGB-D dataset, and demonstrate that it achieves similar or better performance in terms of mAP50 compared to state-of-the-art methods in the SUNRGBD16 category, and comparable performance in point cloud only mode.
Ranked #1 on
Object Detection In Indoor Scenes
on SUN RGB-D
simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision Transformers
Most transfer learning systems are based on the same modality (e. g. RGB image in CV and text in NLP).
Ranked #3 on
Object Detection In Indoor Scenes
on SUN RGB-D
Frustum VoxNet for 3D object detection from RGB-D or Depth images
Recently, there have been a plethora of classification and detection systems from RGB as well as 3D images.
Ranked #1 on
3D Object Detection
on SUN-RGBD val
(Inference Speed (s) metric)
A survey of Object Classification and Detection based on 2D/3D data
On the other hand, 3D methods, such as RGB-D and RGB-LiDAR based systems, can provide solutions that significantly improve the RGB only approaches.
