# 3D Semantic Segmentation on Indoor and Outdoor datasets joint (train) Source: [3D Semantic Segmentation on Indoor and Outdoor datasets joint (train)]() Collection index: [llms.txt]() Data updated: 2026-03-04T08:14:04.973Z Evaluation of 3D Semantic Segmentation performance on the training split of the combined Indoor and Outdoor datasets, reporting Mean Intersection over Union (mIoU). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | 3D Semantic Segmentation | | Dataset (including any stated split) | Indoor and Outdoor datasets joint (train) | | Metric | mIoU | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 1 of 1 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [mIoU](): Higher is better; unit: PERCENT. ## Recorded results | Method | mIoU | Result date | Report paper | | --- | --- | --- | --- | | Point-MoE-L | 70.2 | Not recorded | 68fa78e61e209131cea7b131 | ### Point-MoE-L mIoU: 70.2. Result ID: 69a7e8db6dbb7075b94ca3b2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"FLOPs/step (GFLOPs)":"265.7","Peak VRAM (GiB)":"33.3","∆ FLOPs vs. PPT-L":"↓ 30.9%","∆ VRAM vs. PPT-L":"↓ 19.0%"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.