# Semantic Segmentation on Human Body Segmentation (test) Source: [Semantic Segmentation on Human Body Segmentation (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:27:29.084Z Evaluation of Semantic Segmentation performance on the Human Body Segmentation test set, reporting Accuracy. 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 | Semantic Segmentation | | Dataset (including any stated split) | Human Body Segmentation (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | 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 - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | MeshCNN | 92.3 | Not recorded | 68fa65fc1e209131cea0dbac | | SNGC | 91.02 | Not recorded | 68fa65fc1e209131cea0dbac | | PointNet++ | 90.77 | Not recorded | 68fa65fc1e209131cea0dbac | | DynGraphCNN | 89.72 | Not recorded | 68fa65fc1e209131cea0dbac | | MDGCNN | 89.47 | Not recorded | 68fa65fc1e209131cea0dbac | | Toric Cover | 88 | Not recorded | 68fa65fc1e209131cea0dbac | | GCNN | 86.4 | Not recorded | 68fa65fc1e209131cea0dbac | ### MeshCNN Accuracy: 92.3. Result ID: 698cd5f78b517eb4331d119f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"5"}. This record does not assert independent reproduction. ### SNGC Accuracy: 91.02. Result ID: 698cd5f78b517eb4331d11a0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"3"}. This record does not assert independent reproduction. ### PointNet++ Accuracy: 90.77. Result ID: 698cd5f78b517eb4331d11a2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"3"}. This record does not assert independent reproduction. ### DynGraphCNN Accuracy: 89.72. Result ID: 698cd5f78b517eb4331d11a3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"3"}. This record does not assert independent reproduction. ### MDGCNN Accuracy: 89.47. Result ID: 698cd5f78b517eb4331d11a5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"64"}. This record does not assert independent reproduction. ### Toric Cover Accuracy: 88. Result ID: 698cd5f78b517eb4331d11a1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"26"}. This record does not assert independent reproduction. ### GCNN Accuracy: 86.4. Result ID: 698cd5f78b517eb4331d11a4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"# Features":"64"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.