# Image Classification on ImageNet-1K (KD/DIST/PLD Accuracy) Source: [Image Classification on ImageNet-1K (KD/DIST/PLD Accuracy)]() Collection index: [llms.txt]() Data updated: 2026-05-12T08:10:31.838Z Evaluation of Image Classification performance on the ImageNet-1K dataset, specifically reporting accuracy metrics derived from Knowledge Distillation (KD), Distribution Matching (DIST), and Progressive Label Distillation (PLD) methods, along with associated performance deltas. 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 | Image Classification | | Dataset (including any stated split) | ImageNet-1K | | Metric | Top-1 Accuracy (Teacher) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 20 of 20 | | 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 - [Top-1 Accuracy (Teacher)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (KD)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (DIST)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (PLD)](): Higher is better; unit: PERCENT. - [Accuracy Delta (DIST)](): Higher is better; unit: SCALAR. - [Accuracy Delta (KD)](): Higher is better; unit: SCALAR. ## Recorded results | Method | Top-1 Accuracy (Teacher) | Result date | Report paper | | --- | --- | --- | --- | | ViT-Large/16 | 84.8 | Not recorded | 68fa797c1e209131cea7dc57 | | ViT-Base/16 | 82.07 | Not recorded | 68fa797c1e209131cea7dc57 | | MobileNet-v4 Conv Large | 80.83 | Not recorded | 68fa797c1e209131cea7dc57 | | ResNet-152 | 79.61 | Not recorded | 68fa797c1e209131cea7dc57 | | MobileNet-v4 Hybrid Medium | 78.66 | Not recorded | 68fa797c1e209131cea7dc57 | ### ViT-Large/16 Top-1 Accuracy (Teacher): 84.8. Result ID: 6a02dfd747f34ce924e58249. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Role":"Teacher baseline","Teacher Params (M)":"304.33"}. This record does not assert independent reproduction. ### ViT-Base/16 Top-1 Accuracy (Teacher): 82.07. Result ID: 6a02dfd747f34ce924e58245. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Role":"Teacher baseline","Teacher Params (M)":"86.57"}. This record does not assert independent reproduction. ### MobileNet-v4 Conv Large Top-1 Accuracy (Teacher): 80.83. Result ID: 6a02dfd747f34ce924e58241. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Role":"Teacher baseline","Teacher Params (M)":"32.59"}. This record does not assert independent reproduction. ### ResNet-152 Top-1 Accuracy (Teacher): 79.61. Result ID: 6a02dfd747f34ce924e58239. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Role":"Teacher baseline","Teacher Params (M)":"60.19"}. This record does not assert independent reproduction. ### MobileNet-v4 Hybrid Medium Top-1 Accuracy (Teacher): 78.66. Result ID: 6a02dfd747f34ce924e5823d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Role":"Teacher baseline","Teacher Params (M)":"11.07"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.