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

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Showing 1001–1050 of 5035 papers

TitleStatusHype
A Labeled Array Distance Metric for Measuring Image Segmentation Quality—0
Spatial-Frequency Dual Progressive Attention Network For Medical Image SegmentationCode1
Real2Code: Reconstruct Articulated Objects via Code Generation—0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach—0
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal AttentionCode1
GCtx-UNet: Efficient Network for Medical Image SegmentationCode1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast Cancer Image Segmentation—0
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce RegimesCode1
Research on Tumors Segmentation based on Image Enhancement Method—0
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation—0
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed TomographyCode3
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation—0
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal SamplingCode1
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera—0
Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy—0
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation—0
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized CutCode2
Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image SegmentationCode1
Interactive Image Selection and Training for Brain Tumor Segmentation Network—0
U-KAN Makes Strong Backbone for Medical Image Segmentation and GenerationCode2
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation—0
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation—0
SimSAM: Zero-shot Medical Image Segmentation via Simulated InteractionCode0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing—0
An Image Segmentation Model with Transformed Total VariationCode0
A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic ImagesCode1
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image SegmentationCode0
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature FieldsCode0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural networkCode0
Optimizing Split Points for Error-Resilient SplitFed Learning—0
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images—0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms—0
Renal digital pathology visual knowledge search platform based on language large model and book knowledge—0
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers—0
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images—0
Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering—0
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform RegressionCode1
Image-level Regression for Uncertainty-aware Retinal Image SegmentationCode0
Competing for pixels: a self-play algorithm for weakly-supervised segmentationCode0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation—0
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image SegmentationCode1
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation—0
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation—0
Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
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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