Zero-shot Image Classification on ImageNet 1k (test)
80.11Accuracy (Zero-shot)Base
Evaluation Results
| Method | Links | |
|---|---|---|
| BaseBackbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=2/255, Evaluation Scenario=Clean2026.03 | 80.11 | |
| ET3Backbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=2/255, Evaluation Scenario=Clean2026.03 | 79.82 | |
| ET3Backbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=4/255, Evaluation Scenario=Clean2026.03 | 75.2 | |
| BaseBackbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=4/255, Evaluation Scenario=Clean2026.03 | 74.91 | |
| BaseBackbone=ViT-L/14, Pre-training=FARE, epsilon_t=2/255, Evaluation Scenario=Clean2026.03 | 74.48 | |
| ET3Backbone=ViT-L/14, Pre-training=FARE, epsilon_t=2/255, Evaluation Scenario=Clean2026.03 | 74.07 | |
| ET3Backbone=ViT-L/14, Pre-training=FARE, epsilon_t=4/255, Evaluation Scenario=Clean2026.03 | 70.97 | |
| BaseBackbone=ViT-L/14, Pre-training=FARE, epsilon_t=4/255, Evaluation Scenario=Clean2026.03 | 70.78 | |
| ET3Backbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=4/255, Evaluation Scenario=Robust (AA)2026.03 | 53 | |
| BaseBackbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=4/255, Evaluation Scenario=Robust (AA)2026.03 | 44.5 | |
| ET3Backbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=2/255, Evaluation Scenario=Robust (AA)2026.03 | 44.4 | |
| ET3Backbone=ViT-L/14, Pre-training=FARE, epsilon_t=4/255, Evaluation Scenario=Robust (AA)2026.03 | 41.2 | |
| BaseBackbone=ViT-L/14, Pre-training=TeCoA, epsilon_t=2/255, Evaluation Scenario=Robust (AA)2026.03 | 37 | |
| BaseBackbone=ViT-L/14, Pre-training=FARE, epsilon_t=4/255, Evaluation Scenario=Robust (AA)2026.03 | 34.8 | |
| ET3Backbone=ViT-L/14, Pre-training=FARE, epsilon_t=2/255, Evaluation Scenario=Robust (AA)2026.03 | 25.2 | |
| BaseBackbone=ViT-L/14, Pre-training=FARE, epsilon_t=2/255, Evaluation Scenario=Robust (AA)2026.03 | 17.8 |