Multi-label Classification on BigEarthNet v2 (test)
73.4mAPBaseline
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| BaselineModel size=300M, Params (M)=303.91, Train (M)=303.91, Time (min)=168.87±6.60, Mem (GB)=127.84±0.76, FLOPs (G)=238.49, Thr. (img/s)=37.67±0.04, Inf (s)=2.65±0.002026.03 | 73.4 | 66.8 | 77.7 | |
| Baseline with LoRAModel size=300M, Params (M)=306.33, Train (M)=2.42, Time (min)=230.65±17.90, Mem (GB)=93.8±0.88, FLOPs (G)=240.38, Thr. (img/s)=34.89±0.08, Inf (s)=2.87±0.012026.03 | 72.2 | 66.3 | 77.6 | |
| SIMPLERModel size=300M, Params (M)=51.98, Train (M)=51.98, Time (min)=40.66±1.64, Mem (GB)=23.76±0.00, FLOPs (G)=40.78, Thr. (img/s)=110.05±0.36, Inf (s)=0.91±0.002026.03 | 71.2 | 65.3 | 76.4 | |
| SIMPLER with LoRAModel size=300M, Params (M)=52.43, Train (M)=0.45, Time (min)=92.29±16.33, Mem (GB)=19.04±0.40, FLOPs (G)=41.12, Thr. (img/s)=105.11±0.42, Inf (s)=0.95±0.002026.03 | 70.1 | 64.2 | 76.5 |