# Image Classification on ImageNet-1k (Mult. Depth Reporting) Source: [Image Classification on ImageNet-1k (Mult. Depth Reporting)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:52:58.352Z Evaluation of Image Classification performance on the ImageNet-1k dataset, focusing on metrics related to model depth configuration, specifically reporting 'Mult. Depth'. 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 | Mult. Depth | | Unit | SCALAR | | 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 - [Mult. Depth](): Higher is better; unit: SCALAR. ## Recorded results | Method | Mult. Depth | Result date | Report paper | | --- | --- | --- | --- | | MGF-softmax | 710 | Not recorded | 698181e2a8b01e76cc8e28cf | ### MGF-softmax Mult. Depth: 710. Result ID: 6996e1225698665ec42d9b67. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT/DeiT (Tiny/Base)","Model Size":"5M / 86M","# Classes":"1,000"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.