Interactive Segmentation
65 papers with code • 14 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Interactive Segmentation
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Libraries
Use these libraries to find Interactive Segmentation models and implementations
MS COCO
Cityscapes
DAVIS
PASCAL VOC
SBD
ssTEM
DAVIS-585
Most implemented papers
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
We propose a deep learning-based interactive segmentation method to improve the results obtained by an automatic CNN and to reduce user interactions during refinement for higher accuracy.
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting
yccyenchicheng/pytorch-SegInpaint
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In this paper, we focus on image inpainting task, aiming at recovering the missing area of an incomplete image given the context information.
Iteratively Trained Interactive Segmentation
sabarim/itis
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Deep learning requires large amounts of training data to be effective.
Few-Shot Segmentation Propagation with Guided Networks
Learning-based methods for visual segmentation have made progress on particular types of segmentation tasks, but are limited by the necessary supervision, the narrow definitions of fixed tasks, and the lack of control during inference for correcting errors.
Interactive Image Segmentation With Latent Diversity
intel-isl/Intseg
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CVPR 2018
The first is trained to synthesize a diverse set of plausible segmentations that conform to the user's input.
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
Since we combine a limited amount of user-labelled data with the clustering information obtained from the unlabelled parts of the image, our method fits in the general framework of semi-supervised learning.
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images.
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems
Nevertheless, publications introducing novel interactive segmentation systems (ISS) often lack an objective comparison of HCI aspects.
DISIR: Deep Image Segmentation with Interactive Refinement
delair-ai/DISIR
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Starting from an initial output based on the image only, our network then interactively refines this segmentation map using a concatenation of the image and user annotations.
Rethinking Interactive Image Segmentation: Feature Space Annotation
lids-unicamp/rethinking-interactive-image-segmentation
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This strategy is in stark contrast to existing interactive segmentation methodologies, which perform annotation in the image domain.
