Affinity Derivation and Graph Merge for Instance Segmentation

SAM-CP：将SAM与可组合提示结合用于多用途分割

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation

针对SAM在语义感知分割中的不足，提出SAM-CP方法，通过构建两类可组合提示（判断块与文本标签对齐、同标签块是否同实例）及统一亲和力框架，实现多用途分割，在开放词汇分割等任务中取得SOTA性能。

Large-scale image segmentation based on distributed clustering algorithms

Many approaches to 3D image segmentation are based on hierarchical clustering of supervoxels into image regions. Here we describe a distributed algorithm capable of handling a tremendous number of supervoxels. The algorithm works recursively, the regions are divided into chunks that are processed independently in parallel by multiple workers. At each round of the recursive procedure, the chunk size in all dimensions are doubled until a single chunk encompasses the entire image. The final result is provably independent of the chunking scheme, and the same as if the entire image were processed w…

Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees

Recently there is a line of research work proposing to employ Spectral Clustering (SC) to segment (group){Throughout the paper, we use segmentation, clustering, and grouping, and their verb forms, interchangeably.} high-dimensional structural data such as those (approximately) lying on subspaces {We follow {liu2010robust} and use the term "subspace" to denote both linear subspaces and affine subspaces. There is a trivial conversion between linear subspaces and affine subspaces as mentioned therein.} or low-dimensional manifolds. By learning the affinity matrix in the form of sparse reconstruct…