Toys
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Sequential Recommendation | Toys | Recall@56.01 | 31 | |
| Sequential Recommendation | Toys (Overall) | Hit Rate @108.46 | 24 | |
| Generative Recommendation | Toys | Recall@100.0846 | 23 | |
| Recommendation | Toys | Hit Ratio@100.1101 | 21 | |
| Sequential Recommendation | Toys (test) | Recall@1010.84 | 21 | |
| Sequential Recommendation | Toys | Recall@108.02 | 20 | |
| Node Classification | Toys MAGB | Accuracy80.92 | 13 | |
| 3D Asset Reconstruction | Toys4k | CD0.0083 | 11 | |
| Refinement of VFM-derived artifacts | Toys4k (synthetically corrupted) | mIoU0.858 | 8 | |
| Sequential Recommendation | Toys In-domain (test) | Recall@56.84 | 7 | |
| Low-shot object recognition | Toys4k Categ-SObj-PoseVar | Accuracy75.18 | 6 | |
| Low-shot object recognition | Toys4k Categ-SObj | Accuracy79.69 | 6 | |
| Low-shot recognition | Toys4k Categ-SObj-Pose Var 1.0 (test) | Accuracy75.18 | 6 | |
| Sequential Recommendation | Toys Head Item | H@100.0746 | 3 | |
| Federated Recommendation | Toys | Resource Usage3,244,452 | 3 |
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