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 676700 of 5035 papers

TitleStatusHype
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials0
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension0
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image SegmentationCode0
ReXplain: Translating Radiology into Patient-Friendly Video Reports0
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature GraftingCode1
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation0
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Automating MedSAM by Learning Prompts with Weak Few-Shot SupervisionCode1
Medical Image Segmentation with SAM-generated Annotations0
One Token to Seg Them All: Language Instructed Reasoning Segmentation in VideosCode2
Fully Aligned Network for Referring Image Segmentation0
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image SegmentationCode0
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image SegmentationCode2
Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images0
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks0
Revisit Anything: Visual Place Recognition via Image Segment RetrievalCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Shape-intensity knowledge distillation for robust medical image segmentationCode0
Global-Local Medical SAM Adaptor Based on Full Adaption0
PTQ4RIS: Post-Training Quantization for Referring Image SegmentationCode0
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis0
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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