Image Classification On Places365
评估指标
Top 1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Top 1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| OmniVec(ViT) | 63.5 | OmniVec: Learning robust representations with cross modal sharing | - |
| ViC-MAE (ViT-L) | 59.5% | ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders | - |
| MixMIM-L(ViT-L) | 60.3 | MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers | - |
| MixMIM-B (ViT) | 58.9 | MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers | - |
| InternImage-H（CNN） | 61.2% | InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions | - |
| µ2Net+ (ViT-L/16) | 59.15 | A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems | - |
| OmniVec2 | 65.1 | OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning | - |
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