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 17011725 of 5035 papers

TitleStatusHype
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle0
Domain Generalization with Fourier Transform and Soft ThresholdingCode0
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation0
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels0
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images0
NISF: Neural Implicit Segmentation FunctionsCode1
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road EnvironmentsCode1
Segment Anything Model for Brain Tumor Segmentation0
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement0
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
MELAGE: A purely python based Neuroimaging software (Neonatal)Code0
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing0
Medical Image Segmentation with Belief Function Theory and Deep Learning0
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation0
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation0
Divergences in Color Perception between Deep Neural Networks and HumansCode1
Learning Semantic Segmentation with Query Points Supervision on Aerial ImagesCode0
Lung Diseases Image Segmentation using Faster R-CNNs0
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel SegmentationCode0
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image SegmentationCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
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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