Keyword

image segmentation

2 papers tagged “image segmentation”

AIIEEE/CVF International Conference on Computer Vision (ICCV) · Apr 2023 Open access

Segment Anything

Alexander Kirillov, Eric Mintun and Nikhila Ravi

This paper introduces the Segment Anything project: a promptable image segmentation task, the Segment Anything Model (SAM), and the SA-1B dataset. SAM combines an image encoder, a flexible prompt encoder (points, boxes, masks, text), and a fast mask decoder to produce valid segmentation masks from arbitrary prompts. Trained on over 1 billion masks across 11 million images, SAM shows strong zero-shot transfer to many segmentation tasks without additional training.

computer vision image segmentation foundation model sam

AIMedical Image Computing and Computer-Assisted Intervention (MICCAI 2015), LNCS vol. 9351, pp. 234-241 · Oct 2015 Open access

U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger, Philipp Fischer and Thomas Brox

The paper introduces U-Net, an encoder-decoder convolutional network with a contracting path to capture context and a symmetric expanding path with skip connections for precise localization. Combined with heavy data augmentation, the architecture trains end-to-end from very few annotated images. It won the ISBI cell-tracking and neuronal-structure segmentation challenges and segments a 512x512 image in under a second on a GPU.

image segmentation convolutional neural networks biomedical imaging deep learning