hqfang/memorybench
MemoryBench Dataset MemoryBench is a benchmark dataset designed to evaluate spatial memory and action recall in robotic manipulation. This dataset accompanies the SAM2Act+ framework, introduced in the paper SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation. For detailed task descriptions and more information about this paper, please visit SAM2Act's website. Code can be found at https://github.com/sam2act/sam2act. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/hqfang/memorybench.
| Author / organization | hqfang |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 587 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 10 February 2025 |
| Last updated at source | 28 May 2026 |
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Recent changes
- 16 Oct 2026 Description: MemoryBench Dataset MemoryBench is a benchmark dataset designed to evaluate spatial memory and action recall in robotic manipulation. This dataset accompanies the SAM2Act+ framework, introduced in the paper SAM2Act: Integrating Visual Found → MemoryBench Dataset MemoryBench is a benchmark dataset designed to evaluate spatial memory and action recall in robotic manipulation. This dataset accompanies the SAM2Act+ framework, introduced in the paper SAM2Act: Integrating Visual Found
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