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Efficient Algorithms for Hierarchical Graph-Based Segmentation Relying on the Felzenszwalb-Huttenlocher Dissimilarity.

, , , , , and . Int. J. Pattern Recognit. Artif. Intell., 33 (11): 1940008:1-1940008:28 (2019)

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Summarizing video sequence using a graph-based hierarchical approach., , , and . Neurocomputing, (2016)Morphological Residues and a General Framework for Image Filtering and Segmentation., and . EURASIP J. Adv. Signal Process., 2001 (4): 219-229 (2001)Hierarchical Graph-Based Segmentation in Detection of Object-Related Regions., , and . CIARP, volume 11401 of Lecture Notes in Computer Science, page 124-132. Springer, (2018)A New Dissimilarity Measure for Cut Detection Using Bipartite Graph Matching., , , and . Int. J. Semantic Comput., 3 (2): 155-181 (2009)Efficient Multiscale Object-based Superpixel Framework., , , , and . CoRR, (2022)Enhanced-Memory Transformer for Coherent Paragraph Video Captioning., , and . ICTAI, page 836-840. IEEE, (2021)Hierarchical Graph Convolutional Networks for Image Classification., , and . BRACIS (2), volume 14196 of Lecture Notes in Computer Science, page 63-76. Springer, (2023)An efficient access method for multimodal video retrieval., , , and . WebMedia, page 31-38. ACM, (2013)Combining convolutional side-outputs for road image segmentation., , , , , and . IJCNN, page 1-8. IEEE, (2019)An approach for video cut detection using bipartite graph matching as dissimilarity distance., , and . ICPR, page 1-4. IEEE Computer Society, (2008)