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 826850 of 5035 papers

TitleStatusHype
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
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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