SOTAVerified

Interactive Segmentation

Papers

Showing 201–250 of 255 papers

TitleStatusHype
Getting to 99% Accuracy in Interactive SegmentationCode1
f-BRS: Rethinking Backpropagating Refinement for Interactive SegmentationCode0
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections—0
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input—0
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation SystemsCode0
Content-Aware Multi-Level Guidance for Interactive Instance Segmentation—0
Interactive Image Segmentation via Backpropagating Refinement Scheme—0
Large-scale interactive object segmentation with human annotators—0
Interactive segmentation of medical images through fully convolutional neural networks—0
Interactive Image Segmentation using Label Propagation through Complex Networks—0
SwipeCut: Interactive Segmentation with Diversified Seed Proposals—0
Scale-aware multi-level guidance for interactive instance segmentation—0
Interactive Full Image Segmentation by Considering All Regions Jointly—0
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep networkCode0
Interactive Binary Image Segmentation with Edge Preservation—0
Content-based Propagation of User Markings for Interactive Segmentation of Patterned ImagesCode0
Interactive Boundary Prediction for Object Selection—0
Iterative Interaction Training for Segmentation Editing Networks—0
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation—0
Interactive Image Segmentation With Latent DiversityCode0
Few-Shot Segmentation Propagation with Guided NetworksCode0
Iteratively Trained Interactive SegmentationCode1
SPG-Net: Segmentation Prediction and Guidance Network for Image InpaintingCode0
Normalized Cut Loss for Weakly-supervised CNN Segmentation—0
ClickBAIT-v2: Training an Object Detector in Real-Time—0
The 2018 DAVIS Challenge on Video Object Segmentation—0
Deep Extreme Cut: From Extreme Points to Object SegmentationCode0
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning—0
Regional Interactive Image Segmentation Networks—0
Deep Interactive Region Segmentation and Captioning—0
Dominant Sets for "Constrained" Image Segmentation—0
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image SegmentationCode0
Deep GrabCut for Object Selection—0
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images—0
Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation—0
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation—0
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI—0
Deep Active Contours—0
Interactive Image Segmentation From A Feedback Control Perspective—0
Interactive Segmentation on RGBD Images via Cue Selection—0
Deep Interactive Object SelectionCode0
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions—0
Neutro-Connectedness Cut—0
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation—0
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes—0
Interactive multiclass segmentation using superpixel classification—0
Quality Control in Crowdsourced Object Segmentation—0
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation—0
Error-tolerant Scribbles Based Interactive Image Segmentation—0
A Compact Linear Programming Relaxation for Binary Sub-modular MRF—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DOS w/o GCNoC@9012.59—Unverified
2DOS with GCNoC@906.08—Unverified
3RIS-NetNoC@905—Unverified
4Latent diversityNoC@904.79—Unverified
5BRSNoC@903.6—Unverified
6CM guidanceNoC@903.58—Unverified
7IA+SANoC@903.07—Unverified
8UCP-NetNoC@902.76—Unverified
9f-BRS-B (ResNet-34)NoC@902.46—Unverified
10RITM (HRNet18, SBD)NoC@902.04—Unverified
#ModelMetricClaimedVerifiedStatus
1DOS w/o GCNoC@9017.11—Unverified
2DOS with GCNoC@9012.58—Unverified
3Latent diversityNoC@909.57—Unverified
4BRSNoC@908.24—Unverified
5f-BRS-B (ResNet-101)NoC@907.41—Unverified
6EdgeFlowNoC@905.77—Unverified
7RITM (HRNet18, SBD)NoC@905.74—Unverified
8SimpleClick (ViT-H, SBD)NoC@905.34—Unverified
9RITM (HRNet-32, C+L)NoC@905.34—Unverified
10IA-FP-NetNoC@905.22—Unverified
#ModelMetricClaimedVerifiedStatus
1CM guidanceNoC@905.6—Unverified
2BRSNoC@905.08—Unverified
3IA+SANoC@904.94—Unverified
4f-BRS-B (ResNet-50)NoC@904.34—Unverified
5RITM (HRNet18, SBD)NoC@903.22—Unverified
6UCP-NetNoC@902.7—Unverified
7EdgeFlowNoC@902.4—Unverified
8RITM (HRNet18, C+L)NoC@902.26—Unverified
9IA-FP-Net(HRNet, C+L)NoC@902.12—Unverified
10SimpleClick (ViT-H, SBD)NoC@902.09—Unverified
#ModelMetricClaimedVerifiedStatus
1DOS w/o GCNoC@9016.79—Unverified
2DOS with GCNoC@9012.8—Unverified
3Latent diversityNoC@9010.78—Unverified
4BRSNoC@909.78—Unverified
5f-BRS-B (ResNet-101)NoC@907.73—Unverified
6RIS-NetNoC@856.03—Unverified
7FocalClickNoC@905.59—Unverified
8RITM (HRNet18, SBD)NoC@905.43—Unverified
9FocusCutNoC@905.31—Unverified
10IA-FP-Net(HRNet,SBD)NoC@905.25—Unverified
#ModelMetricClaimedVerifiedStatus
1FocalClick-B3-S2NoC@902.76—Unverified
2ViT-B+MST+CLNoC@902.29—Unverified
#ModelMetricClaimedVerifiedStatus
1EdgeFlowNoC@852.5—Unverified
2ICL CFR-1 (ViT-H, C+L)NoC@952.45—Unverified
#ModelMetricClaimedVerifiedStatus
1IOGInstance Average IoU94—Unverified
2IA+SANoC@803.6—Unverified
#ModelMetricClaimedVerifiedStatus
1IOGInstance Average IoU83.8—Unverified
#ModelMetricClaimedVerifiedStatus
1IOGInstance Average IoU85.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B+MST+CLNoC@852.08—Unverified
#ModelMetricClaimedVerifiedStatus
1IA+SANoC@903.1—Unverified
#ModelMetricClaimedVerifiedStatus
1IOGInstance Average IoU82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B+MST+CLNoC@851.69—Unverified
#ModelMetricClaimedVerifiedStatus
1IOGInstance Average IoU83.7—Unverified