Neuron Interpretation on ImageNet 1K (val)
0.7942CLIP Cosine SimilarityCLIP-Dissect
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CLIP-DissectDconcept=Broden (1.2k), Backbone=ResNet-502026.03 | 0.7942 | 0.4543 | 55.16 | |
| SIEVEDconcept=Common Words (3k), Backbone=ResNet-502026.03 | 0.7914 | 0.4547 | 86.29 | |
| CLIP-DissectDconcept=Common Words (3k), Backbone=ResNet-502026.03 | 0.7868 | 0.4462 | 57.91 | |
| SIEVED_probe=ImageNet val, D_concept=Common Words (3k), Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7858 | 0.434 | 85.24 | |
| SIEVEDconcept=Broden (1.2k), Backbone=ResNet-502026.03 | 0.7848 | 0.4452 | 85.73 | |
| WWWDconcept=Broden (1.2k), Backbone=ResNet-502026.03 | 0.7792 | 0.4327 | 49.55 | |
| SIEVED_probe=ImageNet val, D_concept=Broden (1.2k), Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7742 | 0.4401 | 84.87 | |
| WWWDconcept=Common Words (3k), Backbone=ResNet-502026.03 | 0.7713 | 0.4463 | 50.23 | |
| CLIP-DissectD_probe=ImageNet val, D_concept=Broden (1.2k), Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7651 | 0.4519 | 56.21 | |
| DnDDconcept=GPT-3.5 Turbo, Backbone=ResNet-502026.03 | 0.7595 | 0.4371 | 51.46 | |
| CLIP-DissectD_probe=ImageNet val, D_concept=Common Words (3k), Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7538 | 0.4437 | 57.7 | |
| WWWD_probe=ImageNet val, D_concept=Common Words (3k), Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7512 | 0.452 | 51.88 | |
| DnDD_probe=ImageNet val, D_concept=GPT-3.5 Turbo, Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7462 | 0.4354 | 52.47 | |
| WWWD_probe=ImageNet val, D_concept=Broden (1.2k), Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7455 | 0.4261 | 49.19 | |
| MILAN(b)Backbone=ResNet-502026.03 | 0.7192 | 0.3089 | 46.1 | |
| FALCOND_probe=ImageNet val, D_concept=LAION-400m, Backbone=ViT-B/16, Pre-trained=ImageNet-1K2026.03 | 0.7105 | 0.2281 | 45.95 | |
| FALCONDconcept=LAION-400m, Backbone=ResNet-502026.03 | 0.7031 | 0.2193 | 46.32 | |
| FALCOND_concept=LAION-400m, Backbone=ResNet-18, Pre-trained=Places3652026.03 | 0.6975 | 0.2203 | 47.15 |