RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection

TL;DR - RDVSv2 is a large-scale RGB-D video salient-object-detection benchmark with dense, eye-tracking-guided annotations. It also introduces a parameter-efficient SAM2 baseline that achieves state-of-the-art results across RDVSv2 and existing benchmarks.

• Contains 249 stereoscopic video sequences and 29,077 annotated frames.
• Provides stereo-derived depth maps and frame-level salient-object masks.
• Covers more diverse and challenging scenarios than prior RGB-D VSOD datasets.
• The baseline jointly encodes RGB, depth, and optical-flow cues by fine-tuning the SAM2 encoder with PEFT.