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.