Segmentation on Cityscapes
84.3mIoUInfoMamba
Evaluation results
| Method | Links | |
|---|---|---|
| InfoMamba2026.03 | 84.3 | |
| SegMAN-B2026.03 | 83.8 | |
| SegNeXt-L2026.03 | 83.2 | |
| VWFormer-B52026.03 | 82.8 | |
| SegFormer-B52026.03 | 82.4 | |
| EDAFormer-B2026.03 | 81.6 | |
| FeedFormer-B22026.03 | 81.5 | |
| Full PrecisionPrecision=float32, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 63.39 | |
| FTPrecision=W8A8, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 61.25 | |
| ZAQPrecision=W8A8, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 60.18 | |
| FTPrecision=W6A6, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 59.64 | |
| ZeroQPrecision=W8A8, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 59.52 | |
| RQPrecision=W8A8, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 58.42 | |
| ZAQPrecision=W6A6, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 58.12 | |
| ZeroQPrecision=W6A6, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 57.97 | |
| DFQPrecision=W8A8, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 57.34 | |
| FTPrecision=W4A4, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 55.98 | |
| RQPrecision=W6A6, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 55.33 | |
| DFQPrecision=W6A6, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 55.29 | |
| ZAQPrecision=W4A4, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 55.12 | |
| ZeroQPrecision=W4A4, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 52.73 | |
| FTPrecision=W2A2, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 45.77 | |
| ZAQPrecision=W2A2, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 44.93 | |
| ZeroQPrecision=W2A2, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 43.18 | |
| STTVariant=L2025.06 | 41.2 | |
| STTVariant=H2025.06 | 41 | |
| EfficientSAMVariant=S2025.06 | 40.5 | |
| SAMVariant=H2025.06 | 39.3 | |
| STTVariant=B2025.06 | 39.3 | |
| SAMVariant=L2025.06 | 39.2 | |
| SAMVariant=B2025.06 | 38.4 | |
| EfficientSAMVariant=Ti2025.06 | 37.8 | |
| MobileSAM2025.06 | 30.2 | |
| RQPrecision=W4A4, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 29.16 | |
| DFQPrecision=W4A4, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 19.06 | |
| DFQPrecision=W2A2, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 3.13 | |
| RQPrecision=W2A2, Backbone=MobileNetV2, Architecture=DeepLabv32021.03 | 0.44 |