Out-of-Distribution Detection on Tiny ImageNet (TIN)
0.863AUROCLPBN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LPBNaveraging=false2020.07 | 0.863 | — | — | — | |
| Deep ens. (LPBN)2020.07 | 0.856 | — | — | — | |
| LPBN2020.07 | 0.838 | — | — | — | |
| SWAG2020.07 | 0.835 | — | — | — | |
| PEFT‡Pre-trained model=OpenCLIP2025.09 | 0.8335 | 0.8985 | 0.7298 | 0.6602 | |
| BatchEnsemble2020.07 | 0.82 | — | — | — | |
| MC-Dropout2020.07 | 0.817 | — | — | — | |
| LP HNET2020.07 | 0.816 | — | — | — | |
| PEFT†Pre-trained model=CLIP2025.09 | 0.8134 | 0.883 | 0.702 | 0.7003 | |
| Deep ens.2020.07 | 0.812 | — | — | — | |
| Dropoutmode=Mean2020.07 | 0.788 | — | — | — | |
| Base2020.07 | 0.776 | — | — | — | |
| OCL2025.09 | 0.6956 | 0.7997 | 0.5447 | 0.8591 | |
| OE2025.09 | 0.6822 | 0.7936 | 0.5182 | 0.8854 |