Shypd.aiThe largest open index of AI toolsVMamba is an open-source AI tool for visual state space models, designed for computer vision research. It offers a linear time complexity backbone for various visual perception tasks, including classification, object detection, and semantic segmentation.
Trending
Also listed in
About
VMamba is an open-source visual state space model that transplants the Mamba state-space language model into a vision backbone, offering linear time complexity for computer vision tasks. At its core, VMamba utilizes Visual State-Space (VSS) blocks with a 2D Selective Scan (SS2D) module, which efficiently gathers contextual information from 2D vision data by traversing along four scanning routes. This design helps bridge the gap between 1D selective scan and non-sequential 2D data. The tool provides a family of VMamba architectures, accelerated through architectural and implementation enhancements. It demonstrates promising performance across diverse visual perception tasks such as ImageNet-1K classification, COCO object detection, and ADE20K semantic segmentation, showcasing its efficiency in input scaling compared to existing benchmark models. VMamba is designed for researchers and developers in the AI and computer vision fields.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
