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 2001–2050 of 5035 papers

TitleStatusHype
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image SegmentationCode0
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation—0
Multi-view Remote Sensing Image Segmentation With SAM priors—0
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once—0
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
A temporal enhanced semi-supervised segmentation network for needle detection in 3D ultrasound images—0
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation—0
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGANCode0
Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation—0
HARIS: Human-Like Attention for Reference Image Segmentation—0
Blackbox Adaptation for Medical Image SegmentationCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation—0
Spatial Semantic Recurrent Mining for Referring Image Segmentation—0
Learning from Partial Label Proportions for Whole Slide Image Segmentation—0
CTS: A Consistency-Based Medical Image Segmentation ModelCode0
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation—0
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentationCode0
Palette-based Color Transfer between Images—0
Localized Adaptive Risk ControlCode0
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation—0
CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty QuantificationCode0
A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms—0
Adaptation of Distinct Semantics for Uncertain Areas in Polyp SegmentationCode0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation—0
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix AugmentationCode0
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial ContinuityCode0
UnSegGNet: Unsupervised Image Segmentation using Graph Neural NetworksCode0
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation—0
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped networkCode0
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary dataCode0
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural NetworksCode0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded SystemsCode0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
Automated Virtual Product Placement and Assessment in Images using Diffusion Models—0
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation—0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation—0
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation—0
Predictive Accuracy-Based Active Learning for Medical Image SegmentationCode0
SpecstatOR: Speckle statistics-based iOCT Segmentation Network for Ophthalmic Surgery—0
Clicks2Line: Using Lines for Interactive Image Segmentation—0
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model GardenCode0
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models—0
Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIMCode0
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic SegmentationCode0
Segmentation Quality and Volumetric Accuracy in Medical Imaging—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