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Average per-image inference time on MJU-Waste. The baseline method is DeepLabv3 with a ResNet-50 backbone, which corresponds to the scene-level inference time. Additional object and pixel level inference incurs extra computational costs. System specs: i9-9900KS CPU, 64GB DDR4 RAM, RTX 2080Ti GPU. Test batch size set to 1 with FP32 precision. See Section 4.3 for details.
| MJU-Waste (val) | Scene-Level | Object-Level | Pixel-Level | Total |
|---|---|---|---|---|
| inference time (ms) | 52 | 352 | 398 | 802 |
