Interactive Segmentation
Leaderboards
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Greatest papers with code
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
• 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.
SOTA for Interactive Segmentation on Berkeley
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 SEGMENTATION SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION
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.
Deep Interactive Object Selection
Interactive object selection is a very important research problem and has many applications.
#4 best model for
Interactive Segmentation
on DAVIS
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.
BRAIN TUMOR SEGMENTATION INTERACTIVE SEGMENTATION PLACENTA SEGMENTATION SEMANTIC SEGMENTATION
DISIR: Deep Image Segmentation with Interactive Refinement
• delair-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
We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images.
Scale-aware multi-level guidance for interactive instance segmentation
In interactive instance segmentation, users give feedback to iteratively refine segmentation masks.
INSTANCE SEGMENTATION INTERACTIVE SEGMENTATION SEMANTIC SEGMENTATION
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.