# Video Classification on S-Kinetics-400 1.0 (test) Source: [Video Classification on S-Kinetics-400 1.0 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:30:21.737Z Evaluation of video classification performance on the S-Kinetics-400 dataset, version 1.0, using the test split, typically measured using accuracy metrics. 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 | Video Classification | | Dataset (including any stated split) | S-Kinetics-400 1.0 (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 10 of 10 | | 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 | | --- | --- | --- | --- | | MC3-18 (ANN) | 63.52 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 62.73 | Not recorded | 68fa77481e209131cea72386 | | R3D-18 (ANN) | 62.56 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 62.43 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 61.6 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 61.15 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 61.12 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 60.31 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 55.21 | Not recorded | 68fa77481e209131cea72386 | | ANN-SNN conversion algorithm | 53.46 | Not recorded | 68fa77481e209131cea72386 | ### MC3-18 (ANN) Accuracy: 63.52. Result ID: 69947df63a6c3148491d9769. [Reporting paper]() Recorded evaluation configuration: {"Arch.":"MC3-18","Mode":"ANN"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 62.73. Result ID: 69947df63a6c3148491d976d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"MC3-18","Inference Step":"256"}. This record does not assert independent reproduction. ### R3D-18 (ANN) Accuracy: 62.56. Result ID: 69947df63a6c3148491d976e. [Reporting paper]() Recorded evaluation configuration: {"Arch.":"R3D-18","Mode":"ANN"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 62.43. Result ID: 69947df63a6c3148491d976c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"MC3-18","Inference Step":"128"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 61.6. Result ID: 69947df63a6c3148491d976b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"MC3-18","Inference Step":"64"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 61.15. Result ID: 69947df63a6c3148491d9772. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"R3D-18","Inference Step":"256"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 61.12. Result ID: 69947df63a6c3148491d9771. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"R3D-18","Inference Step":"128"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 60.31. Result ID: 69947df63a6c3148491d9770. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"R3D-18","Inference Step":"64"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 55.21. Result ID: 69947df63a6c3148491d976a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"MC3-18","Inference Step":"32"}. This record does not assert independent reproduction. ### ANN-SNN conversion algorithm Accuracy: 53.46. Result ID: 69947df63a6c3148491d976f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Arch.":"R3D-18","Inference Step":"32"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.