Semantic Segmentation on UAVid (test)
79mIoUUVid-Net
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| UVid-NetEncoder=U-Net, Learnable Parameters=23,745,032, FLOPs=142,291,7102020.11 | 79 | — | — | — | — | — | — | — | — | 91 | 91 | 91 | — | |
| U-Net + ConvLSTMLearnable Parameters=21,695,976, FLOPs=62,842,9132020.11 | 76 | — | — | — | — | — | — | — | — | 90 | 90 | 90 | — | |
| U-NetLearnable Parameters=21,593,732, FLOPs=62,050,1872020.11 | 75 | — | — | — | — | — | — | — | — | 89 | 89 | 89 | — | |
| Video propagation and label relaxationLearnable Parameters=137,100,096, FLOPs=91,055,000,0002020.11 | 72 | — | — | — | — | — | — | — | — | 89 | 88 | 88 | — | |
| UVid-NetEncoder=ResNet-50, Learnable Parameters=44,740,420, FLOPs=133,871,3662020.11 | 72 | — | — | — | — | — | — | — | — | 90 | 89 | 89 | — | |
| PBSegFPS=46.6, GFLOPs=85.4, Latency (ms)=42.9, Para. (M)=35.52026.04 | 71.86 | — | — | — | — | — | — | — | — | — | — | 82.91 | — | |
| LSKNet-S2024.03 | 70 | 69.6 | 84.8 | 82.9 | 80.9 | 65.5 | 76.8 | 64.9 | 31.8 | — | — | — | — | |
| LSKNet-T2024.03 | 69.3 | 69.6 | 87.9 | 82.8 | 80.6 | 64.8 | 77.3 | 60.2 | 31.3 | — | — | — | — | |
| LWGANet-L2#P=12.6M, FLOPs=50.3B, FPS=67.3, Input size=1024x1024, GPU=RTX 30902025.01 | 69.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FAENetFPS=52.0, GFLOPs=76.9, Latency (ms)=19.2, Para. (M)=19.22026.04 | 68.84 | — | — | — | — | — | — | — | — | — | — | 79.97 | — | |
| RS3MambaFPS=17.7, GFLOPs=226.0, Latency (ms)=56.5, Para. (M)=43.322026.04 | 68.15 | — | — | — | — | — | — | — | — | — | — | 79.51 | — | |
| UNetFormer2024.03 | 67.8 | 68.4 | 87.4 | 81.5 | 80.2 | 63.5 | 73.6 | 56.4 | 31 | — | — | — | — | |
| ResNet18#P=11.7M, FLOPs=46.9B, FPS=115.6, Input size=1024x1024, GPU=RTX 30902025.01 | 67.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DC-SwinFPS=23.5, GFLOPs=170.3, Latency (ms)=42.6, Para. (M)=45.62026.04 | 67.7 | — | — | — | — | — | — | — | — | — | — | 79.01 | — | |
| PMambaFPS=49.9, GFLOPs=80.2, Latency (ms)=20.0, Para. (M)=25.282026.04 | 66.79 | — | — | — | — | — | — | — | — | — | — | 78.43 | — | |
| MANetFPS=75.6, GFLOPs=51.7, Latency (ms)=13.2, Para. (M)=12.02026.04 | 66.66 | — | — | — | — | — | — | — | — | — | — | 78.5 | — | |
| ABCNetFPS=102.2, GFLOPs=62.9, Latency (ms)=9.8, Para. (M)=14.02026.04 | 66.4 | — | — | — | — | — | — | — | — | — | — | 78.13 | — | |
| SegFormer2024.03 | 66 | 66.6 | 86.3 | 80.1 | 79.6 | 62.3 | 72.5 | 52.5 | 28.5 | — | — | — | — | |
| BANetFPS=37.3, GFLOPs=107.2, Latency (ms)=26.8, Para. (M)=15.442026.04 | 66 | — | — | — | — | — | — | — | — | — | — | 77.86 | — | |
| CoaT2024.03 | 65.8 | 69 | 88.5 | 80 | 79.3 | 62 | 70 | 59.1 | 18.9 | — | — | — | — | |
| FasterNet-T2#P=13.3M, FLOPs=49.1B, FPS=198.8, Input size=1024x1024, GPU=RTX 30902025.01 | 65.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S2#P=12.7M, FLOPs=35.8B, FPS=54.1, Input size=1024x1024, GPU=RTX 30902025.01 | 65.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3+Backbone=MobileNet-V2, Learnable Parameters=2,142,276, FLOPs=4,218,5312020.11 | 65 | — | — | — | — | — | — | — | — | 85 | 85 | 85 | — | |
| BANet2024.03 | 64.6 | 66.7 | 85.4 | 80.7 | 78.9 | 62.1 | 69.3 | 52.8 | 21 | — | — | — | — | |
| FCN-8Learnable Parameters=134,526,856, FLOPs=269,028,8922020.11 | 64 | — | — | — | — | — | — | — | — | 85 | 85 | 85 | — | |
| ABCNet2024.03 | 63.8 | 67.4 | 86.4 | 81.2 | 79.9 | 63.1 | 69.8 | 48.4 | 13.9 | — | — | — | — | |
| CANet2024.03 | 63.5 | 66 | 86.6 | 62.1 | 79.3 | 78.1 | 47.8 | 68.3 | 19.9 | — | — | — | — | |
| BOTNet2024.03 | 63.2 | 64.5 | 84.9 | 78.6 | 77.4 | 60.5 | 65.8 | 51.9 | 22.4 | — | — | — | — | |
| MANet2024.03 | 62.6 | 64.5 | 85.4 | 77.8 | 77 | 60.3 | 67.2 | 53.6 | 14.9 | — | — | — | — | |
| SegFormer-B0FPS (1080 Ti)=25, FPS (Orin Nano)=122026.01 | 62.3 | — | — | — | — | — | — | — | — | — | — | — | 86 | |
| DeepLabV3+ + ConvLSTMLearnable Parameters=2,244,520, FLOPs=5,011,2572020.11 | 62 | — | — | — | — | — | — | — | — | 87 | 86 | 85 | — | |
| BiSeNet2024.03 | 61.5 | 64.7 | 85.7 | 61.1 | 78.3 | 77.3 | 48.6 | 63.4 | 17.5 | — | — | — | — | |
| SwiftNet2024.03 | 61.1 | 64.1 | 85.3 | 61.5 | 78.3 | 76.4 | 51.1 | 62.1 | 15.7 | — | — | — | — | |
| FCN-8 + ConvLSTMLearnable Parameters=134,629,100, FLOPs=269,821,6182020.11 | 61 | — | — | — | — | — | — | — | — | 86 | 86 | 85 | — | |
| DANet2024.03 | 60.6 | 64.9 | 85.9 | 77.9 | 78.3 | 61.5 | 59.6 | 47.4 | 9.1 | — | — | — | — | |
| UVid-NetEvaluation Protocol=Transfer learning, Learnable Parameters=2602020.11 | 60 | — | — | — | — | — | — | — | — | 89 | 88 | 87 | — | |
| CM-UNetFPS=47.7, GFLOPs=83.8, Latency (ms)=21.0, Para. (M)=8.72026.04 | 59.45 | — | — | — | — | — | — | — | — | — | — | 72.24 | — | |
| Segmenter2024.03 | 58.7 | 64.2 | 84.4 | 79.8 | 76.1 | 57.6 | 59.2 | 34.5 | 14.2 | — | — | — | — | |
| GeoSegFPS=115.6, GFLOPs=46.9, Latency (ms)=8.7, Para. (M)=11.72026.04 | 57.18 | — | — | — | — | — | — | — | — | — | — | 70.42 | — | |
| MSD2024.03 | 57 | 57 | 79.8 | 74 | 74.5 | 55.9 | 62.9 | 32.1 | 19.7 | — | — | — | — | |
| EfficientNet-B4FPS (1080 Ti)=32, FPS (Orin Nano)=162026.01 | 56 | — | — | — | — | — | — | — | — | — | — | — | 84.6 | |
| EfficientNet-B4 + TTRMethod Enhancement=Temporal Token Reuse (TTR), FPS (1080 Ti)=54, FPS (Orin Nano)=272026.01 | 55.7 | — | — | — | — | — | — | — | — | — | — | — | 84.1 | |
| ResNet-50FPS (1080 Ti)=25, FPS (Orin Nano)=122026.01 | 53.8 | — | — | — | — | — | — | — | — | — | — | — | 80.1 | |
| ResNet-50 + TTRMethod Enhancement=Temporal Token Reuse (TTR), FPS (1080 Ti)=40, FPS (Orin Nano)=202026.01 | 53.2 | — | — | — | — | — | — | — | — | — | — | — | 79.8 | |
| TDNetLearnable Parameters=28,200,000, FLOPs=6,380,000,0002020.11 | 52 | — | — | — | — | — | — | — | — | 85 | 83 | 82 | — | |
| BiSeNetV2FPS (1080 Ti)=65, FPS (Orin Nano)=322026.01 | 52 | — | — | — | — | — | — | — | — | — | — | — | 81 | |
| MobileNetV3FPS (1080 Ti)=71, FPS (Orin Nano)=352026.01 | 50.2 | — | — | — | — | — | — | — | — | — | — | — | 77.2 | |
| SeeCo+SegEarth-OVLearning Strategy=Training-free2026.04 | 44.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SeeCo+ProxyCLIPLearning Strategy=Training-free2026.04 | 44.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegEarth-OVLearning Strategy=Training-free2026.04 | 42.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ProxyCLIPLearning Strategy=Training-free2026.04 | 40.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SeeCo+ClearCLIPLearning Strategy=Training-free2026.04 | 40 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CorrCLIPLearning Strategy=Training-free2026.04 | 38.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ClearCLIPLearning Strategy=Training-free2026.04 | 36.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| GEMLearning Strategy=Training-free2026.04 | 33.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SCLIPLearning Strategy=Training-free2026.04 | 31.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| MaskCLIPLearning Strategy=Training-free2026.04 | 28.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLIPLearning Strategy=Training-free2026.04 | 10.9 | — | — | — | — | — | — | — | — | — | — | — | — |