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 1301–1350 of 5035 papers

TitleStatusHype
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends—0
LLMBind: A Unified Modality-Task Integration FrameworkCode1
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
DeiSAM: Segment Anything with Deictic PromptingCode1
Perceiving Longer Sequences With Bi-Directional Cross-Attention TransformersCode1
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image SegmentationCode0
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation StrategiesCode1
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
LSRFormer: Efficient Transformer Supply Convolutional Neural Networks with Global Information for Aerial Image SegmentationCode1
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
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time AdaptationCode1
Crop and Couple: cardiac image segmentation using interlinked specialist networksCode0
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image SegmentationCode2
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
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Expert-Adaptive Medical Image Segmentation—0
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
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
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Early Fusion of Features for Semantic Segmentation—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything ModelCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Constrained Multiview Representation for Self-supervised Contrastive Learning—0
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation—0
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical SegmentationCode0
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods—0
VM-UNet: Vision Mamba UNet for Medical Image SegmentationCode4
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed ScenesCode1
Datacube segmentation via Deep Spectral ClusteringCode0
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model—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