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

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Showing 151–200 of 5035 papers

TitleStatusHype
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation—0
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation—0
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training—0
Lightweight Road Environment Segmentation using Vector Quantization—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
Learning from Noisy Pseudo-labels for All-Weather Land Cover MappingCode1
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis—0
DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art PerformanceCode0
Contour Field based Elliptical Shape Prior for the Segment Anything Model—0
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals—0
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation—0
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation—0
From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image SegmentationCode0
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionCode1
LightFormer: A lightweight and efficient decoder for remote sensing image segmentation—0
PraNet-V2: Dual-Supervised Reverse Attention for Medical Image SegmentationCode1
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation—0
Real-time Seafloor Segmentation and Mapping—0
Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials—0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation—0
AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images—0
PathSeqSAM: Sequential Modeling for Pathology Image Segmentation with SAM2Code0
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention—0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework—0
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data—0
SydneyScapes: Image Segmentation for Australian Environments—0
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement—0
Conditional Conformal Risk Adaptation—0
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development—0
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging—0
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images—0
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionCode0
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention ModelingCode1
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image SegmentationCode0
SlicerNNInteractive: A 3D Slicer extension for nnInteractiveCode2
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation—0
View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans—0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining—0
GraphSeg: Segmented 3D Representations via Graph Edge Addition and ContractionCode0
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing—0
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation—0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

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