Segment Any Events via Weighted Adaptation of Pivotal Tokens [đź“•Paper]
This paper delves into the nuanced challenge of tailoring the Segment Anything Models (SAMs) for integration with event data, with the overarching objective of attaining robust and universal object segmentation within the event-centric domain.
The code requires python>=3.8, as well as pytorch>=1.7 and torchvision>=0.8. Please to install both PyTorch and TorchVision dependencies. Installing both PyTorch and TorchVision with CUDA support is strongly recommended.
Install EventSAM:
pip install git+https://github.com/facebookresearch/segment-anything.git
or clone the repository locally and install with
git clone git@github.com:facebookresearch/segment-anything.git
cd segment-anything; pip install -e .