arXiv research

Paper tackles dermoscopy lesion boundary detection using deep learning.

Deep learning improves automatic image segmentation.

Spatially-aware metrics improve uncertainty evaluation in segmentation.

The limit of energies of a sequence of harmonic maps as their annular domains approach the boundary of moduli space depends upon the boundary point approached. The infinite energy case is associated with limits of images containing ruled surfaces. The finite energy case yields a limit of images, under a suitable topolo…

New solutions concentrate on a segment of a boundary in a Neumann problem.

The paper explores reflection principles for lightlike line segments on maximal surfaces.

NuClick uses clicks inside nuclei to improve nuclear segmentation.

Embed-KCPD segments text without labels, outperforming baselines.

Consider a compact Riemannian manifold with boundary. Assume all maximally extended geodesics intersect the boundary at both ends. Then to each maximal geodesic segment one can form a triple consisting of the initial and final vectors of the segment and the length of the segment. The collection of all such triples comp…

Lazy labels enable deep learning for microscopy segmentation without full annotation.

We present an approach for polarimetric Synthetic Aperture Radar (SAR) image region boundary detection based on the use of B-Spline active contours and a new model for polarimetric SAR data: the GHP distribution. In order to detect the boundary of a region, initial B-Spline curves are specified, either automatically or…

Neural model detects phoneme boundaries from speech, outperforming baselines.

We discuss the $ζ-$regularized determinant of elliptic boundary value problems on a line segment. Our framework is applicable for separated and non-separated boundary conditions.

Unsupervised speech recognition without labeled data using novel cost function and MAP refinement.

Paper connects minimal and maximal surfaces' boundary value problems.

The paper simplifies quickshift hyperparameter tuning for larger images.

Simplified interactive image segmentation using kNN graphs.

Smooth compactness theorem for elasticae, except straight segments.

Superpixel-mix enhances reliability in semantic segmentation.

We construct a sequence of compact embedded minimal disks in the unit ball in Euclidean 3-space whose boundaries are in the boundary of the ball and where the curvatures blow up at every point of a line segment of the vertical axis, extending from the origin. We further study the transversal structure of the minimal li…

MS-FCN improves cardiac left ventricle segmentation accuracy.

Paper reduces Hausdorff Distance in medical image segmentation.

Mask-RCNN applied to ISIC 2018 lesion tasks.

Find geodesics with free boundary on submanifolds.

PFE embeds images into sparse regions for better segmentation.

Proposes a new neural network for better image segmentation.

Given a compact closed subset $M$ of a line segment in $\mathbb{R}^3$, we construct a sequence of minimal surfaces $Σ_k$ embedded in a neighborhood $C$ of the line segment that converge smoothly to a limit lamination of $C$ away from $M$. Moreover, the curvature of this sequence blows up precisely on $M$, and the limit…

Few-shot cell segmentation from diverse sources to target domain.

Deep CNNs segment prostate from MRI images.

The aim of this paper is to develop a new axiomatization of planar geometry by reinterpreting the original axioms of Euclid. The basic concept is still that of a line segment but its equivalent notion of betweenness is viewed as a topological, not a metric concept. That leads quickly to the notion of connectedness with…

We investigate the Tits boundary of locally compact CAT(0) 2-complexes. In particular we show that away from the endpoints, a geodesic segment in the Tits boundary is the ideal boundary of an isometrically embedded Euclidean sector. As applications, we provide sufficient conditions for two points in the Tits boundary t…

BshapeNet improves object detection and instance segmentation using bounding shape masks.

Enhances uncertainty estimation in medical image segmentation.

Automated LV segmentation across the cardiac cycle using deep learning.

Enhanced deep learning model improves tumor segmentation in ultrasound images.

This research improves spoken language translation by refining ASR outputs.

Self-supervised model detects phoneme boundaries without annotations.

New algorithm catches moving subspaces in bandit problems.

Improves TTS accuracy by correcting context-dependent units.

The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities. In this paper, we present an iterative multi-class learning method to segment the femoral, tibial and patellar car…

Paper proposes neural approach for Chinese named entity recognition.

The paper analyzes American options with time-varying caps, finding complex exercise regions and deriving option pricing formulas.

Characterizes convexity of distance functions on Riemannian manifolds.

Study shows non-spectrality of certain curves and line segments.

CompILE learns reusable segments from demonstrations for hierarchical task execution.

Study analyzes overfitting in neural nets under class imbalance, proposing new loss functions.

Improved curvature estimation for digital objects.

End-to-end transformer model improves lexical stress detection accuracy.