SOTAVerified

Interactive Segmentation

Papers

Showing 201–250 of 255 papers

TitleStatusHype
FAIRS -- Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points—0
DISIR: Deep Image Segmentation with Interactive RefinementCode0
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
Interactive Image Segmentation With Latent DiversityCode0
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation—0
Few-Shot Segmentation Propagation with Guided NetworksCode0
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