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 29012925 of 5035 papers

TitleStatusHype
Waymo Open Dataset: Panoramic Video Panoptic Segmentation0
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity0
Weakly-Supervised Dual Clustering for Image Semantic Segmentation0
Weakly-supervised fire segmentation by visualizing intermediate CNN layers0
Weakly Supervised Instance Segmentation Using Hybrid Network0
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images0
Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound0
Weakly Supervised Learning of Affordances0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss0
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM0
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency0
Weakly Supervised Segmentation by A Deep Geodesic Prior0
Weakly-supervised segmentation of referring expressions0
Weakly Supervised Segmentation of Small Buildings With Point Labels0
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks0
Weakly-Supervised Semantic Segmentation using Motion Cues0
Weakly Supervised Volumetric Image Segmentation with Deformed Templates0
What Image Features Boost Housing Market Predictions?0
What is Wrong with Continual Learning in Medical Image Segmentation?0
What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation0
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods0
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation0
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation0
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models0
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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