CRCNet: few-shot segmentation with cross-reference and region–global conditional networks by Liu, Weide, Zhang, Chi, Lin, Guosheng, Liu, Fayao

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Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds by Wei, Jiacheng, Lin, Guosheng, Yap, Kim-Hui, Hung, Tzu-Yi, Xie, Lihua

“…Existing methods for point cloud segmentation require a large amount of fully labeled data. …”
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Enhanced stress and changes to regional seismicity due to the 2015 Mw 7.8 Gorkha, Nepal, earthquake on the neighbouring segments of the Main Himalayan Thrust by Chan, Chung-Han, Wang, Yu, Almeida, Rafael, Yadav, R.B.S.

“…We also calculate the stress change on optimally oriented planes in the region and model the regional seismicity rate using a smoothing kernel method and seismicity since 1921. …”
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Segmental reporting in Singapore by Goh, Eddie Guan Chua, Jong, Voon Hoo, Kwong, Choong Kuen

“…This study was conducted primarily to examine the cost and benefit of segmental reporting and the necessity for it to remain mandatory by looking at the issue from both the perspective of the preparers of the financial statements and the end-users of these statements and recommend ways to improve the reporting wherever necessary. …”
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Segmental reporting in Singapore by Goh, Eddie Guan Chua, Jong, Voon Hoo, Kwong, Choong Kuen

“…This study was conducted primarily to examine the cost and benefit of segmental reporting and the necessity for it to remain mandatory by looking at the issue from both the perspective of the preparers of the financial statements and the end-users of these statements and recommend ways to improve the reporting wherever necessary. …”
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Segmentation of histopathological images by Chia, Jason

“…This project aims to segment histopathological images of lung tissues into its constituents such as cells, nuclei and blood vessels so that the status of the patients can be determined.…”
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Interactive image segmentation by Tsoi, Lok Yin

“…The segmentation uses the constrained random walks algorithm, where foreground and background seeds are defined accordingly. …”
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Efficient Segment Anything on the Edge by Stiles, Nicole

“…The Segment-Anything Model (SAM) is a vision foundation model facilitating promptable and zero-shot image segmentation. …”
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Development of an API for EDU segmentation by Liu, Qingyi

“…EDU stands for elementary discourse unit, which is a clause-like structure in a sentence. EDU segmentation, refers to determining the boundaries to split sentences into multiple EDUs. …”
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Pylon model for semantic segmentation by Lempitsky, V, Vedaldi, A, Zisserman, A

“…Graph cut optimization is one of the standard workhorses of image segmentation since for binary random field representations of the image, it gives globally optimal results and there are efficient polynomial time implementations. …”

Detection of story segments in news video footages by Octopios, Chowrichzy Wisdomy

“…A core component of content analysis is the ability to segment the content into semantically disjoint parts/concepts. …”
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Spillovers across industries and regions in China’s regional economic diversification by Gao, Jian, Jun, Bogang, Pentland, Alex, Zhou, Tao, Hidalgo, César A.

“…Industrial diversification depends on spillovers from related industries and nearby regions, yet their interaction remains largely unclear. …”
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Greater tumen region cooperation : obstacles in Northeast Asia regionalism? by Liu, Shuguang

“…The advancement of cross-border transport infrastructure in the Greater Tumen Region (GTR) marks the progress of multilateral cooperation in Northeast Asia. …”
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Semantic segmentation with less annotation efforts by Zhang, Tianyi

“…The supervision format of image-level labels for weakly supervised semantic segmentation is investigated in this thesis. To recover the pixel-wise annotations from image-level labels, region-mining models are trained to approximate the target object regions. …”
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Search by image : clothing segmentation and retrieval by Shi, Ganyu

“…We divide our system into two main stages: 1) Segmentation: We segment the query image into individual clothing classes, and use them as regions of interest for subsequent retrieval. 2) Retrieval: For each of the clothing item, we use image retrieval techniques to fetch visually similar products. …”
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Unsupervised multi-texture image segmentation by Neena Mittal

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Incremental learning technologies for semantic segmentation by Yang, Yizhuo

“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. …”
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Chinese text segmentation for information retrieval by Li, Hui

“…Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. …”
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Evaluation of watershed transform in image segmentation by Min Min Thein.

“…This dissertation develops the practical image processing toolbox, and related computer programs for the evaluation of watershed transform in image segmentation.…”
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Delving deeper into the whorl of flower segmentation by Nilsback, M, Zisserman, A

“…Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation.…”