# Image Classification on CIFAR-10-C CS-5 1.0 (test) Source: [Image Classification on CIFAR-10-C CS-5 1.0 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:51:50.838Z Evaluation of Image Classification performance on the CIFAR-10-C dataset version 1.0, specifically under the CS-5 corruption setting, using the test split. 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) | CIFAR-10-C CS-5 1.0 (test) | | Metric | Mean Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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 - [Mean Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Mean Accuracy | Result date | Report paper | | --- | --- | --- | --- | | DynACL-AIR | 66.75 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL | 65.6 | Not recorded | 68fa70f21e209131cea4e438 | | ACL-AIR | 65.37 | Not recorded | 68fa70f21e209131cea4e438 | | ACL | 65.27 | Not recorded | 68fa70f21e209131cea4e438 | | ACL-AIR | 64.28 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL-AIR | 63.29 | Not recorded | 68fa70f21e209131cea4e438 | | ACL-AIR | 63.17 | Not recorded | 68fa70f21e209131cea4e438 | | ACL | 62.78 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL-AIR | 62.67 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL | 62.51 | Not recorded | 68fa70f21e209131cea4e438 | | ACL | 61.38 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL | 60.87 | Not recorded | 68fa70f21e209131cea4e438 | ### DynACL-AIR Mean Accuracy: 66.75. Result ID: 699181c93a6c314849089d47. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"DynACL-AIR","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL Mean Accuracy: 65.6. Result ID: 699181c93a6c314849089d46. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"DynACL","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL-AIR Mean Accuracy: 65.37. Result ID: 699181c93a6c314849089d45. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ACL-AIR","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL Mean Accuracy: 65.27. Result ID: 699181c93a6c314849089d44. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ACL","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL-AIR Mean Accuracy: 64.28. Result ID: 699181c93a6c314849089d3d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ACL-AIR","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL-AIR Mean Accuracy: 63.29. Result ID: 699181c93a6c314849089d3f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"DynACL-AIR","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL-AIR Mean Accuracy: 63.17. Result ID: 699181c93a6c314849089d41. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ACL-AIR","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL Mean Accuracy: 62.78. Result ID: 699181c93a6c314849089d3c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ACL","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL-AIR Mean Accuracy: 62.67. Result ID: 699181c93a6c314849089d43. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"DynACL-AIR","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL Mean Accuracy: 62.51. Result ID: 699181c93a6c314849089d3e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"DynACL","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL Mean Accuracy: 61.38. Result ID: 699181c93a6c314849089d40. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ACL","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL Mean Accuracy: 60.87. Result ID: 699181c93a6c314849089d42. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"DynACL","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.