UNC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Referring Image Segmentation | UNC (testB) | IoU66.95 | 44 | |
| Referring Image Segmentation | UNC (val) | IoU69.27 | 44 | |
| Referring Image Segmentation | UNC+ (val) | IoU57.48 | 42 | |
| Referring Image Segmentation | UNC (testA) | Overall IoU71.13 | 40 | |
| Packing While Traveling | unc 1000 instance (stochastic constraints) | Mean Cost88,872 | 10 | |
| Packing While Traveling | unc_575 instance (stochastic constraints) | Mean Cost14,032.89 | 10 | |
| Packing While Traveling | unc_280 stochastic constraints instance | Mean Objective Value9,806.09 | 10 | |
| Packing While Traveling | unc_152 instance stochastic constraints | Mean Cost2,094.89 | 10 | |
| Referring Image Segmentation | UNC MS-COCO based (testB) | Overall IoU59.64 | 9 | |
| Referring Image Segmentation | UNC MS-COCO based (testA) | Overall IoU64.53 | 9 | |
| Referring Image Segmentation | UNC MS-COCO based (val) | Overall IoU61.36 | 9 | |
| Referring Image Segmentation | UNC (test) | Inference Time (ms)17 | 8 | |
| Referring Image Segmentation | UNC+ no location words MS-COCO based (testA) | Overall IoU53.44 | 8 | |
| SOZ detection | UNC (target) | F1 Score91 | 2 | |
| SOZ detection | UNC (University of North Carolina) | Accuracy83 | 2 |
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