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RGBD20K: A Large-Scale Benchmark for RGB-D Semantic Segmentationarxiv.org

Researchers introduce RGBD20K, a new large-scale dataset for RGB-D semantic segmentation with 20,000 image pairs and 160 fine-grained categories, featuring high-fidelity annotations. They also propose a novel score-purified fusion (SPF) method that achieves state-of-the-art performance on evaluated benchmarks.