Channel classification on Single-cell morphological dataset
99.1AccuracyCP-CLIP ViT-B/16 (fingerprint)
Evaluation results
| Method | Links | |
|---|---|---|
| CP-CLIP ViT-B/16 (fingerprint)Model Backbone=ViT-B/16, Representation Type=fingerprint2026.06 | 99.1 | |
| CLIP ViT-B/16Model Backbone=ViT-B/162026.06 | 95.5 | |
| CP-CLIP SigLIP-ViT-B/16 (descriptor)Model Backbone=SigLIP-ViT-B/16, Representation Type=descriptor2026.06 | 93.4 | |
| SigLIP-ViT-B/16Model Backbone=ViT-B/162026.06 | 92.5 | |
| CP-CLIP ViT-B/16 (descriptor)Model Backbone=ViT-B/16, Representation Type=descriptor2026.06 | 88.2 | |
| CP-CLIP ViT-L/16 (descriptor)Model Backbone=ViT-L/16, Representation Type=descriptor2026.06 | 84.9 | |
| Gemini-2.5-Pro2026.06 | 62.8 | |
| GPT-52026.06 | 43.9 | |
| Grok-42026.06 | 22.8 | |
| Claude-4-Sonnet2026.06 | 19.8 | |
| Random Guessing2026.06 | 14.3 |