# Image Classification on Cifar100-LT exponential Source: [Image Classification on Cifar100-LT exponential]() Collection index: [llms.txt]() Data updated: 2026-04-03T08:28:43.891Z Evaluation of Image Classification performance on the Cifar100 Long Tail dataset configured with an exponential imbalance distribution, reporting overall accuracy, class frequency breakdowns (Frequent, Medium, Rare), and standard deviation. 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) | Cifar100-LT exponential | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | 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. - [Accuracy (Frequent)](): Higher is better; unit: PERCENT. - [Accuracy (Medium)](): Higher is better; unit: PERCENT. - [Accuracy (Rare)](): Higher is better; unit: PERCENT. - [Std Dev](): Lower is better; unit: SCALAR. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | MIMV (Sum) | 60.18 | Not recorded | 68fa7b471e209131cea877ef | | MIMV (Concatenate) | 58.89 | Not recorded | 68fa7b471e209131cea877ef | | FASSL | 55.27 | Not recorded | 68fa7b471e209131cea877ef | | SDCLR | 54.94 | Not recorded | 68fa7b471e209131cea877ef | | Byol | 53.43 | Not recorded | 68fa7b471e209131cea877ef | | BCL-I | 52.22 | Not recorded | 68fa7b471e209131cea877ef | | MoCoV2 | 46.37 | Not recorded | 68fa7b471e209131cea877ef | | VicReg | 45.26 | Not recorded | 68fa7b471e209131cea877ef | | SimCLR | 44.85 | Not recorded | 68fa7b471e209131cea877ef | ### MIMV (Sum) Accuracy: 60.18. Result ID: 69cf7a2347f34ce924b955a2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp","aggregation":"Sum"}. This record does not assert independent reproduction. ### MIMV (Concatenate) Accuracy: 58.89. Result ID: 69cf7a2347f34ce924b955a1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp","aggregation":"Concatenate"}. This record does not assert independent reproduction. ### FASSL Accuracy: 55.27. Result ID: 69cf7a2347f34ce924b955a0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. ### SDCLR Accuracy: 54.94. Result ID: 69cf7a2347f34ce924b9559f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. ### Byol Accuracy: 53.43. Result ID: 69cf7a2347f34ce924b9559c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. ### BCL-I Accuracy: 52.22. Result ID: 69cf7a2347f34ce924b9559e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. ### MoCoV2 Accuracy: 46.37. Result ID: 69cf7a2347f34ce924b9559b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. ### VicReg Accuracy: 45.26. Result ID: 69cf7a2347f34ce924b9559d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. ### SimCLR Accuracy: 44.85. Result ID: 69cf7a2347f34ce924b9559a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"Resnet-18","Evaluation Protocol":"Linear Evaluation","Imbalance Type":"exp"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.