Regimental agents as Language Intermediaries in the Eighteenth-Century Habsburg Realms by Pataki, K

“…Schmid’s letters inform about his cooperation with Bernhard Isenflamm, a regimental agent who supplied the proprietors of regiments with news about military affairs in individually tailored, handwritten newsletters. …”

Segmental reporting in Singapore by Goh, Eddie Guan Chua, Jong, Voon Hoo, Kwong, Choong Kuen

“…The data collected from the questionnaires were analysed and the results generated led us to conclude that segmental reporting is useful and should remain mandatory. …”
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Segmental reporting in Singapore by Goh, Eddie Guan Chua, Jong, Voon Hoo, Kwong, Choong Kuen

“…The data collected from the questionnaires were analysed and the results generated led us to conclude that segmental reporting is useful and should remain mandatory. …”
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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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Occlusion handling for augmented reality environment using neural network image segmentation: A review. by Ahmad, Muhammad Anwar, Mohd. Suaib, Norhaida, Ismail, Ajune Wanis

“…Recently, the advancements of handling occlusions for Augmented Reality (AR) introduces neural network-based image segmentation methods. …”

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. …”

Unsupervised multi-texture image segmentation by Neena Mittal

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Semantic segmentation with less annotation efforts by Zhang, Tianyi

“…Semantic segmentation is a pixel-wise classification task, which is to predict class label to every pixel within an image. …”
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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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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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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.…”

An object category specific mrf for segmentation by Kumar, MP, Torr, PHS, Zisserman, A

“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”

Image segmentation with minimal human supervision by Shin, G

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Learning segmentation from point trajectories by Karazija, L, Laina, I, Rupprecht, C, Vedaldi, A

“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”

Geodesic star convexity for interactive image segmentation by Gulshan, V, Rother, C, Criminisi, A, Blake, A, Zisserman, A

“…We also introduce a new and harder dataset which augments the existing Grabcut dataset with images and ground truth taken from the PASCAL VOC segmentation challenge.…”