Referring expression segmentation: from conventional to generalized by Liu, Chang

“…Among the complex integrated tasks, one particularly challenging and important task is Referring Expression Segmentation (RES), which aims to generate a segmentation mask for a target object in a given image as described by a given natural language query expression, involving both computer vision and natural language processing. …”
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Fingerprint recognition with line segment Hausdorff distance by Liu, Chuan.

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Segmentation of liver tumor from CT images by La, Cam Chung

“…One can use the rib curve as a post-processing step to fine tune the segmentation.…”
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Automated breast masses segmentation in digitized mammograms by Zhang, Han, Foo, Say Wei, Thng, Choon Hua, Krishnan, Shankar M.

“…In this paper, an automated segmentation method is proposed. The method is applied to the segmentation of breast masses in digitized mammograms and it operates on the whole mammograms instead of manually selected regions. …”
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Scalable cascade inference for semantic image segmentation by Sturgess, P, Ladický, L, Crook, N, Torr, PHS

“…Semantic image segmentation is a problem of simultaneous segmentation and recognition of an input image into regions and their associated categorical labels, such as person, car or cow. …”

Single-histogram class models for image segmentation by Schroff, F, Criminisi, A, Zisserman, A

“…The benefit of the single histograms is that they are much more efficient both in terms of memory and computational resources; and (ii) we show that bag of visual words histograms can provide an accurate pixel-wise segmentation of an image into object class regions. In this manner the compact models of visual object classes give simultaneous segmentation and recognition of image regions.…”

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

“…In this paper we introduce a new shape constraint for interactive image segmentation. It is an extension of Veksler's star-convexity prior, in two ways: from a single star to multiple stars and from Euclidean rays to Geodesic paths. …”

Provenance, chemical weathering, and sedimentary environment of the aquifer sediments: Implication for arsenic enrichment in groundwater by Ming, Xiaoxing, Li, Xiaofeng, Zhang, Qiyi, Guo, Huaming, Zhang, Zhuo, Cao, Yongsheng, Shen, Jiaxing, Zhang, Chaoran

“…The geochemical and isotopic characteristics of high-resolution aquifer sediments were investigated to unravel the roles of provenance, chemical weathering, and sedimentary environment of the aquifer sediments. …”
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Nitrite accumulation and anammox bacterial niche partitioning in Arctic Mid-Ocean Ridge sediments by Zhao, Rui, Babbin, Andrew R, Roerdink, Desiree L, Thorseth, Ingunn H, Jørgensen, Steffen L

“…We observed nitrite accumulation in these cores, a phenomenon also recorded at 28 other marine sediment sites and in analogous aquatic environments. …”
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EDTA-enhanced thermal washing of contaminated dredged marine sediments for heavy metal removal by Yin, Ke, Giannis, Apostolos, Wong, Angeline S. Y., Wang, Jing-Yuan

“…Preliminary analysis on dredged marine sediments from Benoi basin in Singapore was carried out showing elevated concentrations of Zn, Cu, Pb, Cd, Cr and Ni. …”
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Semiconductive, one-dimensional, self-assembled nanostructures based on oligopeptides with π-conjugated segments by Sun, Yinghui, Jiang, Lin, Schuermann, Klaus C., Adriaens, Wencke, Zhang, Li, Boey, Freddy Yin Chiang, Cola, Luisa De, Brunsveld, Luc, Chen, Xiaodong

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Development of a word segmentation algorithm for Myanmar language by U Tun Thura Thet

“…This study is to develop a word segmentation algorithm and solution for Myanmar language. …”
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The cinema industry in Singapore : a market segmentation exercise by Juan, Hee Meen, Tan, Winnie Bee Hong, Tan, Siew Yan

Subjects: “…DRNTU::Business::Marketing::Market segmentation…”
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Learning class-specific edges for object detection and segmentation by Prasad, M, Zisserman, A, Fitzgibbon, A, Kumar, MP, Torr, PHS

“…We illustrate its application to two algorithms: (i) chamfer matching for object detection, and (ii) modulating contrast terms in MRF based object-specific segmentation. We show that performance of both algorithms (matching and segmentation) is considerably improved by the class-specific edge labelling.…”

Advection-diffusion-settling of deep-sea mining sediment plumes. Part 1: Midwater plumes by Ouillon, Raphael, Muñoz-Royo, Carlos, Alford, Matthew H., Peacock, Thomas

“…The evolution of midwater sediment plumes associated with deep-sea mining activities is investigated in the passive-transport phase using a simplified advection–diffusion-settling model. …”
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Advection–diffusion settling of deep-sea mining sediment plumes. Part 2. Collector plumes by Ouillon, Raphael, Muñoz-Royo, Carlos, Alford, Matthew H., Peacock, Thomas

“…In the case of collector plumes, deposition plays a predominant role in controlling the mass of sediment in suspension, and thus on setting the extent of the plume. …”
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Characterization and application of natural and recombinant butelase-1 to improve industrial enzymes by end-to-end circularization by Hemu, Xinya, Zhang, Xiaohong, Nguyen, Giang K. T., To, Janet, Serra, Aida, Loo, Shining, Sze, Siu Kwan, Liu, Chuan-Fa, Tam, James P.

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Modeling the change of beach profile under tsunami waves : a comparison of selected sediment transport models by Li, Linlin, Huang, Zhenhua

“…In contrast to the efforts made to develop hydrodynamic models for large-scale tsunami propagation and run-up, little has been done to develop, test, and validate sediment transport models used to simulate tsunami-induced sediment movement. …”
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Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios by Almubaidin, Mohammad Abdullah Abid, Ahmed, Ali Najah, Abdul Malek, Marlinda, A. Mahmoud, Moamin, Sherif, Mohsen, El-Shafie, Ahmed

“…The simulation of monthly sediment values in the Mujib reservoir showed that sediment accumulation accounts for 14.6% of the reservoir's volume at the end of 2019. …”
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FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML by Liu, Brian, Mazumder, Rahul

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