# Image Classification on Cars, EuroSAT, RESISC45, GTSRB (test) Source: [Image Classification on Cars, EuroSAT, RESISC45, GTSRB (test)]() Collection index: [llms.txt]() Data updated: 2026-04-28T08:20:38.329Z Aggregate evaluation of Image Classification performance across the test splits of Cars, EuroSAT, RESISC45, and GTSRB datasets. 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) | Cars, EuroSAT, RESISC45, GTSRB Average Clean (test) | | Metric | 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 - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | DOGE AM | 90.9 | Not recorded | 68fa7a631e209131cea82cfa | | RegMean++ | 89.7 | Not recorded | 68fa7a631e209131cea82cfa | | RegMean | 89.1 | Not recorded | 68fa7a631e209131cea82cfa | | Layer-wise AdaMerging | 88.4 | Not recorded | 68fa7a631e209131cea82cfa | | TSV-M | 88.3 | Not recorded | 68fa7a631e209131cea82cfa | | DOGE TA | 86.1 | Not recorded | 68fa7a631e209131cea82cfa | | Iso-CTS | 84.9 | Not recorded | 68fa7a631e209131cea82cfa | | Iso-C | 84.8 | Not recorded | 68fa7a631e209131cea82cfa | | Fisher Merging | 79.1 | Not recorded | 68fa7a631e209131cea82cfa | | Task Arithmetic | 77.5 | Not recorded | 68fa7a631e209131cea82cfa | | Model Soups | 76 | Not recorded | 68fa7a631e209131cea82cfa | | TIES-Merging | 73.3 | Not recorded | 68fa7a631e209131cea82cfa | ### DOGE AM Accuracy: 90.9. Result ID: 69f06cb147f34ce924d63b79. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Test-Time Adaptation"}. This record does not assert independent reproduction. ### RegMean++ Accuracy: 89.7. Result ID: 69f06cb147f34ce924d63b77. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Training-Free"}. This record does not assert independent reproduction. ### RegMean Accuracy: 89.1. Result ID: 69f06cb147f34ce924d63b76. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Training-Free"}. This record does not assert independent reproduction. ### Layer-wise AdaMerging Accuracy: 88.4. Result ID: 69f06cb147f34ce924d63b78. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Test-Time Adaptation"}. This record does not assert independent reproduction. ### TSV-M Accuracy: 88.3. Result ID: 69f06cb147f34ce924d63b71. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. ### DOGE TA Accuracy: 86.1. Result ID: 69f06cb147f34ce924d63b72. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. ### Iso-CTS Accuracy: 84.9. Result ID: 69f06cb147f34ce924d63b74. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. ### Iso-C Accuracy: 84.8. Result ID: 69f06cb147f34ce924d63b73. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. ### Fisher Merging Accuracy: 79.1. Result ID: 69f06cb147f34ce924d63b75. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Training-Free"}. This record does not assert independent reproduction. ### Task Arithmetic Accuracy: 77.5. Result ID: 69f06cb147f34ce924d63b6f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. ### Model Soups Accuracy: 76. Result ID: 69f06cb147f34ce924d63b6e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. ### TIES-Merging Accuracy: 73.3. Result ID: 69f06cb147f34ce924d63b70. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/32","Method Category":"Data-Free"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.