SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3151–3200 of 5035 papers

TitleStatusHype
RLCorrector: Reinforced Proofreading for Cell-level Microscopy Image Segmentation—0
Road surface detection and differentiation considering surface damages—0
Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints—0
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans—0
Robust and fully automated segmentation of mandible from CT scans—0
Robust Box Prompt based SAM for Medical Image Segmentation—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
Robust cDNA microarray image segmentation and analysis technique based on Hough circle transform—0
Robust deep learning-based semantic organ segmentation in hyperspectral images—0
Robust Histopathology Image Analysis: To Label or to Synthesize?—0
Robustifying deep networks for image segmentation—0
Robust image segmentation model based on binary level set—0
Robust Image Segmentation Quality Assessment—0
Robustness study of noisy annotation in deep learning based medical image segmentation—0
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation—0
Robust path-based spectral clustering—0
Robust Region Grouping via Internal Patch Statistics—0
Robust Regression For Image Binarization Under Heavy Noises and Nonuniform Background—0
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation—0
Robust Seed Mask Generation for Interactive Image Segmentation—0
Robust Segmentation of Cell Nuclei in 3-D Microscopy Images—0
Robust semi-supervised segmentation with timestep ensembling diffusion models—0
Robust Submodular Minimization with Applications to Cooperative Modeling—0
Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer—0
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization—0
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT—0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation—0
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels—0
RRSIS: Referring Remote Sensing Image Segmentation—0
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation—0
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar—0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation—0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields—0
S4M: Segment Anything with 4 Extreme Points—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation—0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
Saliency-Aware Class-Agnostic Food Image Segmentation—0
Saliency Can Be All You Need In Contrastive Self-Supervised Learning—0
Saliency-Driven Active Contour Model for Image Segmentation—0
Saliency guided deep network for weakly-supervised image segmentation—0
Saliency maps on image hierarchies—0
Salient Object Detection: A Discriminative Regional Feature Integration Approach—0
SAM2-ELNet: Label Enhancement and Automatic Annotation for Remote Sensing Segmentation—0
SAM2 for Image and Video Segmentation: A Comprehensive Survey—0
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT—0
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation—0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation—0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds—0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Show:102550
← PrevPage 64 of 101Next →
All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified