About
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
|
||||||
|
||||||
|
||||||
|
||||||
|
||||||
|
||||||
|
||||||
|
||||||
|
||||||
|
Datasets
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
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.
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 SEGMENTATION SEMANTIC SEGMENTATION VIDEO SEGMENTATION VIDEO SEMANTIC SEGMENTATION
Interactive Object Segmentation With Inside-Outside Guidance
CVPR 2020
• shiyinzhang/Inside-Outside-Guidance
•
This paper explores how to harvest precise object segmentation masks while minimizing the human interaction cost.
Ranked #1 on
Interactive Segmentation
on COCO
INSTANCE SEGMENTATION INTERACTIVE SEGMENTATION 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.
Ranked #4 on
Interactive Segmentation
on DAVIS
Deep Interactive Object Selection
CVPR 2016
• intel-isl/Intseg
•
Interactive object selection is a very important research problem and has many applications.
Ranked #6 on
Interactive Segmentation
on SBD
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
• saic-vul/ritm_interactive_segmentation
•
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
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 TUMOR 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