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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2350 of 5035 papers

TitleStatusHype
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection—0
Automatic measurement of coverage area of water-based pesticides-surfactant formulation on plant leaves using deep learning tools—0
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning—0
Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation—0
K-means segmentation based-on lab color space for embryo detection in incubated egg—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
Large-scale detection and categorization of oil spills from SAR images with deep learning—0
Learning to segment with image-level supervision—0
Deep learning denoising for EOG artifacts removal from EEG signals—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Adaptive Patching for High-resolution Image Segmentation with Transformers—0
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation—0
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning—0
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis—0
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment—0
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials—0
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz—0
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization—0
K-expectiles clustering—0
A multi-task U-net for segmentation with lazy labels—0
Automatic Image Labelling at Pixel Level—0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—0
Deep learning architectures for automated image segmentation—0
Automatic Image Co-Segmentation: A Survey—0
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery—0
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI—0
Automatic Image Annotation for Mapped Features Detection—0
Deep learning and its application to medical image segmentation—0
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net—0
Learning to segment microscopy images with lazy labels—0
Kernel Spectral Clustering and applications—0
Keypoint Transfer for Fast Whole-Body Segmentation—0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline—0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
AASeg: Attention Aware Network for Real Time Semantic Segmentation—0
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation—0
Deep Grouping Model for Unified Perceptual Parsing—0
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans—0
Automatic Estimation of Live Coffee Leaf Infection based on Image Processing Techniques—0
Deep Geodesic Learning for Segmentation and Anatomical Landmarking—0
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
Adaptive Noise-Tolerant Network for Image Segmentation—0
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders—0
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data—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