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Semantic Segmentation

580 papers with code · Computer Vision

The idea of semantic segmentation is to recognize and understand what is in an image at the pixel-level.

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Latest papers without code

Dual Graph Convolutional Network for Semantic Segmentation

13 Sep 2019

Exploiting long-range contextual information is key for pixel-wise prediction tasks such as semantic segmentation.

SEMANTIC SEGMENTATION

Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images

13 Sep 2019

Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI

12 Sep 2019

Magnetic Resonance Imaging (MRI) has long been considered to be among "the gold standards" of diagnostic medical imaging.

IMAGE RECONSTRUCTION SEMANTIC SEGMENTATION

An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image

12 Sep 2019

A CNN segmentation model was trained based on the augmented training data by leave-one-out strategy.

CARDIAC SEGMENTATION SEMANTIC SEGMENTATION

Image Segmentation using Multi-Threshold technique by Histogram Sampling

11 Sep 2019

We observed a maximum speed-up of 35. 58x and a minimum speed-up of 10. 21x on popular image processing benchmarks.

SEMANTIC SEGMENTATION

BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding

11 Sep 2019

For understanding generic documents, information like font sizes, column layout, and generally the positioning of words may carry semantic information that is crucial for solving a downstream document intelligence task.

INSTANCE SEGMENTATION LANGUAGE MODELLING SEMANTIC SEGMENTATION

Semantic Foreground Inpainting from Weak Supervision

10 Sep 2019

Our approach is inherently more efficient than the previous two-stage state-of-the-art method, and outperforms it by a margin of 3% IoU for the inpainted foreground regions on Cityscapes.

SCENE UNDERSTANDING SEMANTIC SEGMENTATION

Virtual organelle self-coding for fluorescence imaging via adversarial learning

10 Sep 2019

A detailed comparative analysis is also conducted on the performance of the cGAN network between predicting fluorescence channels based on phase contrast or based on another fluorescence channel using human breast cancer MDA-MB-231 cell line as a test case.

SEMANTIC SEGMENTATION