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

Showing 801850 of 5035 papers

TitleStatusHype
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
Transformer based multiple instance learning for weakly supervised histopathology image segmentationCode1
Unsupervised Segmentation in Real-World Images via Spelke Object InferenceCode1
Test-Time Adaptation with Shape Moments for Image SegmentationCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble AnnotationsCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with SuperpixelsCode1
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel ImagesCode1
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image SegmentationCode1
Continual Hippocampus Segmentation with TransformersCode1
IOP-FL: Inside-Outside Personalization for Federated Medical Image SegmentationCode1
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image SegmentationCode1
Interactive Object Segmentation in 3D Point CloudsCode1
Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationCode1
TorMentor: Deterministic dynamic-path, data augmentations with fractalsCode1
Federated Cross Learning for Medical Image SegmentationCode1
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentationCode1
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic SegmentationCode1
Online panoptic 3D reconstruction as a Linear Assignment ProblemCode1
On the Road to Online Adaptation for Semantic Image SegmentationCode1
Target and Task specific Source-Free Domain Adaptive Image SegmentationCode1
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisCode1
Translation Consistent Semi-supervised Segmentation for 3D Medical ImagesCode1
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source LabelsCode1
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal DistillationCode1
Test-time Adaptation with Slot-Centric ModelsCode1
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysisCode1
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual ProcessingCode1
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image SegmentationCode1
Point-Unet: A Context-aware Point-based Neural Network for Volumetric SegmentationCode1
3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationCode1
Hyperbolic Image SegmentationCode1
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRICode1
On-the-Fly Test-time Adaptation for Medical Image SegmentationCode1
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image SegmentationCode1
NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation PipelineCode1
Stepwise Feature Fusion: Local Guides GlobalCode1
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object DetectionCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature AggregationCode1
Show:102550
← PrevPage 17 of 101Next →

Benchmark Results

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