Glacier Front Delineation on CaFFe (test)
264MDEAMD-HookNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AMD-HookNetResolution=72023.02 | 264 | 0 | — | |
| AMD-HookNetResolution=172023.02 | 322 | 0 | — | |
| HookFormerArchitecture Type=Transformer, Parameters=59.3M, FLOPs=15.4G, Training Memory=70.9GB, Inference Throughput=90.9 Image/s2025.12 | 353 | 0 | 1,370 | |
| AMD-HookNet++Architecture Type=Hybrid, Parameters=48.6M, FLOPs=22.0G, Training Memory=78.3GB, Inference Throughput=164.7 Image/s2025.12 | 367 | 0 | 1,318 | |
| BaselineResolution=172023.02 | 437 | 0 | — | |
| AMD-HookNetArchitecture Type=CNN, Parameters=14.9M, FLOPs=45.7G, Training Memory=30.2GB, Inference Throughput=182.1 Image/s2025.12 | 438 | 0 | 1,631 | |
| BaselineResolution=72023.02 | 547 | 0 | — | |
| Trans-UnetArchitecture Type=Hybrid, Parameters=105.3M, FLOPs=29.3G, Training Memory=10.4GB, Inference Throughput=172.6 Image/s2025.12 | 574 | 0 | 1,836 | |
| Swin-UnetArchitecture Type=Transformer, Parameters=41.4M, FLOPs=8.8G, Training Memory=8.3GB, Inference Throughput=215.9 Image/s2025.12 | 576 | 4 | 1,816 | |
| HED-U-NetArchitecture Type=CNN, Parameters=8.1M, FLOPs=37.9G, Training Memory=11.5GB, Inference Throughput=195.7 Image/s2025.12 | 646 | 6 | 1,999 | |
| BaselineArchitecture Type=CNN, Parameters=19.3M, FLOPs=16.6G, Training Memory=6.9GB, Inference Throughput=577.8 Image/s2025.12 | 753 | 1 | 2,180 | |
| MISSFormerArchitecture Type=Transformer, Parameters=42.5M, FLOPs=9.9G, Training Memory=12.8GB, Inference Throughput=173.5 Image/s2025.12 | 1,084 | 9 | 2,522 | |
| AMD-HookNetResolution=202023.02 | 1,508 | 0 | — | |
| BaselineResolution=202023.02 | 1,939 | 0 | — | |
| AMD-HookNetGlacier=Mapple2023.02 | 16,428 | 157 | — | |
| BaselineGlacier=Mapple2023.02 | 28,748 | 157 | — | |
| AMD-HookNetGlacier=All2023.02 | 43,822 | 1,122 | — | |
| AMD-HookNetGlacier=Columbia2023.02 | 48,931 | 165 | — | |
| BaselineGlacier=All2023.02 | 75,376 | 11,122 | — | |
| BaselineGlacier=Columbia2023.02 | 84,084 | 65 | — |