Interactive Segmentation
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Benchmarks
GrabCut
DAVIS
Berkeley
SBD
DAVIS-585
PASCAL VOC
Rooftop
COCO minival
Cityscapes val
DRIONS-DB
PASCAL2COCO(Unseen)
PascalVOC
ssTEM
Most implemented
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
nnInteractive: Redefining 3D Promptable Segmentation
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
SAM-Med2D
One-Prompt to Segment All Medical Images
Papers
Uncertainty-Guided Handshake: Efficient Human-in-the-Loop Refinement for Surgical-Grade Glioma Segmentation
While state-of-the-art automated models for medical image segmentation achieve high mean performance, they frequently suffer from localized, catastrophic failures that preclude safe clinical deployment, particularly in n…
Medical Image SegmentationInteractive SegmentationFrom Few-Shot Segmentation to Clinician-in-the-Loop Medical Image Analysis
Few-shot medical image segmentation (FSMIS) seeks to delineate unseen structures from a small support set, but its standard formulation fixes task-defining evidence before inference. This assumption is fragile when query…
Medical Image SegmentationInteractive SegmentationTest-time AdaptationPrompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
Accurate segmentation of interstitial lung disease (ILD) patterns is essential for quantitative disease assessment and longitudinal monitoring. However, existing approaches remain limited by relying on dense annotations …
Interactive SegmentationPrompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation
Anatomically plausible segmentation remains challenging because of low contrast, ambiguous boundaries, and modality-specific artifacts. Interactive segmentation has emerged as a promising strategy to guide feature extrac…
Medical Image SegmentationInteractive SegmentationUniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation
Medical image segmentation foundation models are expected to generalize across diverse clinical scenarios, yet existing universal methods remain fragmented by prompt paradigms and spatial dimensions. Visual in-context le…
Medical Image SegmentationInteractive SegmentationOnline Segment 3D Gaussians via Launching Virtual Drones
Interactive segmentation of 3D Gaussians offers a compelling opportunity for real-time manipulation of 3D scenes, thanks to the real-time rendering capability of 3D Gaussian Splatting (3DGS). However, existing methods re…
Interactive Segmentation