May 2, 2024 · Spider is able to understand and distinguish diverse strong context-dependent concepts to accurately capture the Prompter's intention.

8 CD Concept Segmentation Tasks Spider: UniCDSeg Framework (You only train and infer once! 100% Unified Parameters.)

We propose Spider, a universal context-dependent concept understanding model, to unify eight segmentation tasks with the proposed group prompt paradigm.

Spider is a unified model that can efficiently perform versatile context-dependent concept segmentation tasks across diverse domains using a single set of ...

May 28, 2024 · The paper is about a new AI model called Spider that can understand and identify various types of context-dependent concepts, such as camouflaged objects and ...

May 30, 2024 · The summary of code and paper for unified model towards context-dependent (CD) concept segmentation.

Spider: A Unified Framework for Context-dependent Concept Segmentation ... Different from the context-independent (CI) concepts such as human, car, and airplane, ...

Spider: A Unified Framework for Versatile Context-dependent Concept Segmentation. Spider is a unified model that can efficiently perform versatile context ...

Spider: A Unified Framework for Context-dependent Concept Segmentation. X Zhao, Y Pang, W Ji, B Sheng, J Zuo, L Zhang, H Lu. Forty-first International ...

Spider: A Unified Framework for Context-dependent Concept Segmentation ... Different from the context-independent (CI) concepts such as human, car, and airplane, ...