Interactive Segmentation
18 papers with code • 10 benchmarks • 5 datasets
Benchmarks
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COCO
Cityscapes
DAVIS
SBD
ssTEM
Greatest papers with code
Deep Extreme Cut: From Extreme Points to Object Segmentation
scaelles/DEXTR-PyTorch
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CVPR 2018
This paper explores the use of extreme points in an object (left-most, right-most, top, bottom pixels) as input to obtain precise object segmentation for images and videos.
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
saic-vul/fbrs_interactive_segmentation
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CVPR 2020
We propose f-BRS (feature backpropagating refinement scheme) that solves an optimization problem with respect to auxiliary variables instead of the network inputs, and requires running forward and backward pass just for a small part of a network.
Ranked #2 on
Interactive Segmentation
on SBD
Getting to 99% Accuracy in Interactive Segmentation
We propose a novel interactive architecture and a novel training scheme that are both tailored to better exploit the user workflow.
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 Object Segmentation With Inside-Outside Guidance
shiyinzhang/Inside-Outside-Guidance
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CVPR 2020
This paper explores how to harvest precise object segmentation masks while minimizing the human interaction cost.
Ranked #1 on
Interactive Segmentation
on COCO
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
saic-vul/ritm_interactive_segmentation
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We find that the models trained on a combination of COCO and LVIS with diverse and high-quality annotations show performance superior to all existing models.
Ranked #1 on
Interactive Segmentation
on GrabCut
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.
Ranked #4 on
Interactive Segmentation
on DAVIS
Deep Interactive Object Selection
intel-isl/Intseg
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CVPR 2016
Interactive object selection is a very important research problem and has many applications.
Ranked #6 on
Interactive Segmentation
on SBD
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.
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.
Interactive Segmentation
Remote Sensing Image Classification
+1