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Interactive Segmentation

12 papers with code · Computer Vision

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Deep Extreme Cut: From Extreme Points to Object Segmentation

CVPR 2018 scaelles/DEXTR-PyTorch

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.

INSTANCE SEGMENTATION INTERACTIVE SEGMENTATION SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION

f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

CVPR 2020 saic-vul/fbrs_interactive_segmentation

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.

INTERACTIVE SEGMENTATION

Getting to 99% Accuracy in Interactive Segmentation

17 Mar 2020MarcoForte/FBA-Matting

We propose a novel interactive architecture and a novel training scheme that are both tailored to better exploit the user workflow.

INTERACTIVE SEGMENTATION

Few-Shot Segmentation Propagation with Guided Networks

25 May 2018shelhamer/revolver

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 SEGMENTATION SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION

Interactive Image Segmentation With Latent Diversity

CVPR 2018 intel-isl/Intseg

The first is trained to synthesize a diverse set of plausible segmentations that conform to the user's input.

INTERACTIVE SEGMENTATION SEMANTIC SEGMENTATION

Deep Interactive Object Selection

CVPR 2016 IntelVCL/Intseg

Interactive object selection is a very important research problem and has many applications.

INTERACTIVE SEGMENTATION

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

3 Jul 2017taigw/geodesic_distance

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.

BRAIN TUMOR SEGMENTATION INTERACTIVE SEGMENTATION PLACENTA SEGMENTATION TUMOR SEGMENTATION

DISIR: Deep Image Segmentation with Interactive Refinement

31 Mar 2020delair-ai/DISIR

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 SEMANTIC SEGMENTATION

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

30 Nov 2018gmaresta/iW-Net

We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images.

INTERACTIVE SEGMENTATION LUNG NODULE SEGMENTATION