SOTAVerified

Interactive Segmentation

Papers

Showing 126–150 of 255 papers

TitleStatusHype
TraceNet: Segment one thing efficiently—0
Learning from Exemplars for Interactive Image Segmentation—0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
Structured Click Control in Transformer-based Interactive SegmentationCode0
Clicks2Line: Using Lines for Interactive Image Segmentation—0
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain—0
Adapting the Segment Anything Model During Usage in Novel Situations—0
iSeg: Interactive 3D Segmentation via Interactive Attention—0
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods—0
IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence—0
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?Code0
QIS : Interactive Segmentation via Quasi-Conformal Mappings—0
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning—0
TETRIS: Towards Exploring the Robustness of Interactive Segmentation—0
MST: Adaptive Multi-Scale Tokens Guided Interactive SegmentationCode0
SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian SplattingCode0
A dynamic interactive learning framework for automated 3D medical image segmentation—0
SqueezeSAM: User friendly mobile interactive segmentation—0
The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model—0
Segment Any 3D Gaussians—0
VILLS -- Video-Image Learning to Learn Semantics for Person Re-Identification—0
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy—0
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point PromptsCode0
Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentationCode0
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces—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