Interactive Segmentation
65 papers with code • 14 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Interactive Segmentation
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Libraries
Use these libraries to find Interactive Segmentation models and implementations
MS COCO
Cityscapes
DAVIS
PASCAL VOC
SBD
ssTEM
DAVIS-585
Latest papers with no code
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
Next, the method was externally validated on a dataset including five unseen STT phenotypes in extremities, achieving 0. 81$\pm$0. 08 for CT, 0. 84$\pm$0. 09 for T1-weighted MRI, and 0. 88\pm0. 08 for previously unseen T2-weighted fat-saturated (FS) MRI.
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
Based on the performance with such adversarial user inputs, we assess the robustness of interactive segmentation models w. r. t click positions.
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields
Although significant progress has been made in the field of 2D-based interactive editing, fine-grained 3D-based interactive editing remains relatively unexplored.
A dynamic interactive learning framework for automated 3D medical image segmentation
Many deep learning based automated medical image segmentation systems, in reality, face difficulties in deployment due to the cost of massive data annotation and high latency in model iteration.
SqueezeSAM: User friendly mobile interactive segmentation
Finally, when a user clicks on an object, they typically expect all related pieces of the object to be segmented.
SAMBA: A Trainable Segmentation Web-App with Smart Labelling
Segmentation is the assigning of a semantic class to every pixel in an image and is a prerequisite for various statistical analysis tasks in materials science, like phase quantification, physics simulations or morphological characterization.
The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model
Moreover, the intent expansion framework enables users to perform flexible contextualized interactions with the search results to further specify or adjust their detailed search intents iteratively.
Segment Any 3D Gaussians
Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation.
Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification
To address these limitations, we propose a Local Semantic Extraction (LSE) module inspired by Interactive Segmentation Models.
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Interactive segmentation is a crucial research area in medical image analysis aiming to boost the efficiency of costly annotations by incorporating human feedback.
