# Model Pruning on ImageNet (test)

Source: [Model Pruning on ImageNet (test)](<https://www.sota2.com/research/sota/model-pruning-on-imagenet-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:47:06.247Z

Evaluation of model pruning effectiveness on the test split of the ImageNet dataset, typically measured by induced sparsity and resulting accuracy changes.

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 | Model Pruning |
| Dataset (including any stated split) | ImageNet (test) |
| Metric | Induced Sparsity |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Induced Sparsity](<https://www.sota2.com/research/sota/model-pruning-on-imagenet-test.md?metric=Induced%20Sparsity>): Higher is better; unit: PERCENT.

- [Max Delta Accuracy](<https://www.sota2.com/research/sota/model-pruning-on-imagenet-test.md?metric=Max%20Delta%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Induced Sparsity | Result date | Report paper |
| --- | --- | --- | --- |
| DFPC | 81.03 | Not recorded | 699d308e6017c4460ffab402 |
| DepGraph | 77.39 | Not recorded | 699d308e6017c4460ffab402 |
| Fine-Pruning | 65 | Not recorded | 699d308e6017c4460ffab402 |
| Backpropagation | 0 | Not recorded | 699d308e6017c4460ffab402 |
| SVD | 0 | Not recorded | 699d308e6017c4460ffab402 |

### DFPC

Induced Sparsity: 81.03. Result ID: 699e23f55698665ec4de19ca.

[Reporting paper](<https://www.sota2.com/research/paper/699d308e6017c4460ffab402.md>)

Recorded evaluation configuration: {"Memory Footprint":"O(N \* n\_max^2 + n\_max \* D)\*","Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### DepGraph

Induced Sparsity: 77.39. Result ID: 699e23f55698665ec4de19cb.

[Reporting paper](<https://www.sota2.com/research/paper/699d308e6017c4460ffab402.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ee71e209131cea42c56.md>)

[Implementation](<https://github.com/VainF/Torch-Pruning>)

Recorded evaluation configuration: {"Memory Footprint":"O(N \* D \* n\_max^3)\*","Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### Fine-Pruning

Induced Sparsity: 65. Result ID: 699e23f55698665ec4de19cc.

[Reporting paper](<https://www.sota2.com/research/paper/699d308e6017c4460ffab402.md>)

[Method origin paper](<https://www.sota2.com/research/paper/699d308e6017c4460ffab402.md>)

Recorded evaluation configuration: {"Memory Footprint":"O(Σ\_{i=1}^L n\_{i-1} \* n\_i)","Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### Backpropagation

Induced Sparsity: 0. Result ID: 699e23f55698665ec4de19c8.

[Reporting paper](<https://www.sota2.com/research/paper/699d308e6017c4460ffab402.md>)

Recorded evaluation configuration: {"Memory Footprint":"O(N \* Σ\_{i=1}^L n\_{i-1} \* n\_i)","Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### SVD

Induced Sparsity: 0. Result ID: 699e23f55698665ec4de19c9.

[Reporting paper](<https://www.sota2.com/research/paper/699d308e6017c4460ffab402.md>)

Recorded evaluation configuration: {"Memory Footprint":"O(N \* Σ\_{i=1}^L min(n\_i \* n\_{i-1}^2, n\_i^2 \* n\_{i-1}))","Backbone":"ResNet-50"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.