Mar 14, 2024 · In this regard, we propose a prompt learning method designed to segment specific object instances by customizing the segmentation foundation model. Our approach ...

Aug 4, 2024 · This survey provides a thorough overview of transformer-based visual segmentation, summarizing recent advancements.

Jun 20, 2024 · Instance-based semantic segmentation provides detailed per-pixel scene understanding information crucial for both computer vision and robotics applications.

Oct 12, 2023 · Video amodal segmentation is a particularly challeng- ing task in computer vision, which requires to deduce the full shape of an object from the visible ...

Jun 11, 2024 · Specifically, we instantiate a set of N learnable object queries responsible for decoding individual instances. These queries are itera- tively refined by a ...

Aug 11, 2024 · Solq: Segmenting objects by learning queries. Advances in Neural Information. Processing Systems, 34:21898–21909. Danny Driess, Fei Xia, Mehdi SM Sajjadi ...

Nov 15, 2023 · This study proposes the Graph Relational Decision Network (GRDN), which mines relationships between objects in a dataset.

Oct 27, 2023 · 2021. SOLQ: Segmenting Objects by Learning Queries. Proc. Advances in Neural Inf. Process. Syst. (2021). Google Scholar.

Dec 6, 2023 · Solq: Segmenting objects by learning queries. Advances in Neural Information. Processing Systems, 34:21898–21909. Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu ...

Apr 12, 2024 · Zeng, T. Wang, X. Zhang, and. YichenWei, "Solq: Segmenting objects by learning queries", Proc. of Neural Information Processing.