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 2151–2200 of 5035 papers

TitleStatusHype
Topologically Faithful Multi-class Segmentation in Medical Images—0
Task-Aware Low-Rank Adaptation of Segment Anything Model—0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model—0
TBI Image/Text (TBI-IT): Comprehensive Text and Image Datasets for Traumatic Brain Injury Research—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
MARVIS: Motion & Geometry Aware Real and Virtual Image SegmentationCode0
Federated Data Model—0
An Active Contour Model Driven By the Hybrid Signed Pressure Function—0
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset—0
A Segmentation Foundation Model for Diverse-type Tumors—0
3DRef: 3D Dataset and Benchmark for Reflection Detection in RGB and Lidar Data—0
Shortcut Learning in Medical Image SegmentationCode0
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine—0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation—0
Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation—0
EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAVCode0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation—0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation—0
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey—0
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion—0
Image-Based Dietary Assessment: A Healthy Eating Plate Estimation System—0
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation—0
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation—0
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation—0
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel basesCode0
PIDformer: Transformer Meets Control Theory—0
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation—0
FRAP analysis Measuring biophysical kinetic parameters using image analysis—0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends—0
QIS : Interactive Segmentation via Quasi-Conformal Mappings—0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging—0
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image SegmentationCode0
Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic ApproachCode0
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model—0
Crop and Couple: cardiac image segmentation using interlinked specialist networksCode0
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Rethinking U-net Skip Connections for Biomedical Image Segmentation—0
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
Expert-Adaptive Medical Image Segmentation—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts—0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Early Fusion of Features for Semantic 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