Interactive Segmentation

29 papers with code • 12 benchmarks • 7 datasets

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Libraries

Use these libraries to find Interactive Segmentation models and implementations

Most implemented papers

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

saic-vul/ritm_interactive_segmentation 12 Feb 2021

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.

Deep Interactive Object Selection

IntelVCL/Intseg CVPR 2016

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

f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

saic-vul/fbrs_interactive_segmentation 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.

Getting to 99% Accuracy in Interactive Segmentation

marcoforte/fba_matting 17 Mar 2020

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

EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow

PaddlePaddle/PaddleSeg 20 Sep 2021

In addition, with the proposed method, we develop an efficient interactive segmentation tool for practical data annotation tasks.

Deep Extreme Cut: From Extreme Points to Object Segmentation

scaelles/DEXTR-PyTorch 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.

NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images

navidstuv/NuClick 29 May 2020

As nuclei, cells and glands are fundamental objects for downstream analysis in computational pathology/cytology, in this paper we propose a simple CNN-based approach to speed up collecting annotations for these objects which requires minimum interaction from the annotator.

Interactive Object Segmentation With Inside-Outside Guidance

shiyinzhang/Inside-Outside-Guidance CVPR 2020

This paper explores how to harvest precise object segmentation masks while minimizing the human interaction cost.

Interactive Image Segmentation With First Click Attention

mindspore-ai/models CVPR 2020

In the task of interactive image segmentation, users initially click one point to segment the main body of the target object and then provide more points on mislabeled regions iteratively for a precise segmentation.

Medical Image Segmentation Using Deep Learning: A Survey

Liuhongzhi2018/Medical_images_research 28 Sep 2020

Firstly, compared to traditional surveys that directly divide literatures of deep learning on medical image segmentation into many groups and introduce literatures in detail for each group, we classify currently popular literatures according to a multi-level structure from coarse to fine.