arXiv:1212.4527
공식 코드 · Papers with Code
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation
원문 초록
In this project, we first study the Gaussian-based hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. Then we generalize it to Gaussian mixture model-based hidden Markov random field. The algorithm is implemented in MATLAB. We also apply this algorithm to color image segmentation problems and 3D volume segmentation problems.
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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
No time to train! Training-Free Reference-Based Instance Segmentation
Autoadaptive Medical Segment Anything Model
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
토론
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