SUN RGB-D

The SUN RGB-D dataset is a benchmark that contains RGB-D images used to evaluate semantic segmentation performance in scenarios where depth information may be missing or degraded.

Papers using SUN RGB-D (4)

Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection2026RBF Weighted Hyper-Involution for RGB-D Object Detection2023 · 1 citesDiffPixelFormer: Differential Pixel-Aware Transformer for RGB-D Indoor Scene Segmentation2025Coherent 3D Scene Diffusion From a Single RGB Image2024