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Democratizing Pathological Image Segmentation with Lay Annotators via Molecul...
Multi-class cell segmentation in high-resolution Giga-pixel whole slide images (WSI) is critical for various clinical applications. Training such an AI model typically requires... -
Underwater Change Detection dataset
The Underwater Change Detection dataset contains images of underwater scenes. -
Image Segmentation
The Image Segmentation dataset is used to evaluate the performance of the ensemble average rule. -
LSAC model
The dataset used in the paper is the LSAC model, which is a model for image segmentation with intensity inhomogeneity. The dataset is not explicitly described, but it is... -
Chan-Vese model
The dataset used in the paper is the Chan-Vese model, which is a model for image segmentation. The dataset is not explicitly described, but it is mentioned that the authors used... -
Delaunay Triangulation
The dataset used in the paper is a Delaunay Triangulation with n vertices, where n ranges from 1000 to 10000. -
Dense and Low-Rank Gaussian CRFs using Deep Embeddings
The dataset used in the paper is a collection of images and corresponding referring expressions. -
Random Geometric Graphs
The dataset is a random geometric graph with vertex set [n] based on n i.i.d. random vectors X1,..., Xn drawn from an unknown density f on Rd. -
U2-Net: A Bayesian U-Net Model for Photoreceptor Layer Segmentation in Pathol...
A dataset of pathological OCT scans for photoreceptor layer segmentation -
COCO, ADE20K, PASCAL Context, and LVIS datasets
COCO dataset, ADE20K dataset, PASCAL Context dataset, LVIS dataset -
Real-Time All-Purpose Segment Anything Model
Advanced by transformer architecture, vision foundation models (VFMs) achieve remarkable progress in performance and generalization ability. Segment Anything Model (SAM) is one... -
Deep Automatic Portrait Matting
The dataset used for training and testing the proposed LSSC system, which consists of 1530 training images and 170 test images in RGB format. -
Microsoft Common Objects in Context (MS COCO)
A well-known dataset for object detection and image segmentation -
Vaihingen dataset
The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM)... -
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Diffusion Probabilistic Models are employed for state-of-the-art image generation. In this work, we present a method for extending such models for performing image segmentation. -
Liver Segmentation and Left Ventricle Segmentation
Liver CT and left ventricle MRI data for image segmentation
