Infrared Small Target Detection on NUDT-MIRSDT SNR ≤ 3
95.84PdDeepPro
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DeepProProcessing Type=MF, Method Category=Deep-Learning, #Params (M)=0.197, FPS=184.552025.06 | 95.84 | 0.52 | |
| STDMANetProcessing Type=MF, Method Category=Deep-Learning, #Params (M)=47.518, FPS=18.662025.06 | 92.82 | 2.88 | |
| Res-U+DTUMProcessing Type=MF, Method Category=Deep-Learning, #Params (M)=1.193, FPS=62.652025.06 | 91.68 | 2.37 | |
| DQAlignerProcessing Type=MF, Method Category=Deep-Learning, #Params (M)=2.410, FPS=10.012025.06 | 81.29 | 0.37 | |
| Res-U+RFRProcessing Type=MF, Method Category=Deep-Learning, #Params (M)=4.096, FPS=102.882025.06 | 79.39 | 4.15 | |
| SRSTTProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=0.062025.06 | 69.94 | 6.12 | |
| 4D-TRProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=0.362025.06 | 55.77 | 2.55 | |
| 4DST-BTMDProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=26.092025.06 | 41.58 | 23.45 | |
| AGPCNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=49.442, FPS=24.132025.06 | 31.76 | 176.38 | |
| RPCANetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=2.720, FPS=31.472025.06 | 30.06 | 81.21 | |
| 4D-TTProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=10.822025.06 | 24.95 | 1.67 | |
| DNA-NetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=18.787, FPS=29.872025.06 | 23.74 | 19.23 | |
| SCTransNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=45.304, FPS=20.072025.06 | 23.63 | 122.24 | |
| ISNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=4.363, FPS=52.252025.06 | 17.96 | 8.53 | |
| ILNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=6.322, FPS=36.822025.06 | 17.39 | 55.89 | |
| Res-UNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=3.656, FPS=222.852025.06 | 15.83 | 30.32 | |
| UIUNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=202.152, FPS=12.462025.06 | 15.12 | 17.46 | |
| ACMProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=1.592, FPS=171.312025.06 | 7.75 | 22.88 | |
| STRL-LBCMProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=0.872025.06 | 5.48 | 85.53 | |
| MSLSTIPTProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=0.172025.06 | 4.16 | 21.7 | |
| ALCNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=3.457, FPS=142.512025.06 | 3.97 | 37.1 | |
| MSHNetProcessing Type=SF, Method Category=Deep-Learning, #Params (M)=16.262, FPS=69.352025.06 | 2.46 | 78.07 | |
| NFTDGSTVProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=0.582025.06 | 1.51 | 32.31 | |
| IMNN-LWECProcessing Type=MF, Method Category=Traditional, #Params (M)=-, FPS=30.312025.06 | 0 | 7.22 |