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 1501–1550 of 5035 papers

TitleStatusHype
Image Segmentation with transformers: An Overview, Challenges and Future—0
Shape-Based Single Object Classification Using Ensemble Method Classifiers—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
Bayesian Multifractal Image Segmentation—0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation—0
AI Driven Water Segmentation with deep learning models for Enhanced Flood MonitoringCode0
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTMCode0
Adaptive Noise-Tolerant Network for Image Segmentation—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy LabelsCode0
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation—0
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image SegmentationCode0
UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image SegmentationCode0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
EditAR: Unified Conditional Generation with Autoregressive Models—0
BEN: Using Confidence-Guided Matting for Dichotomous Image SegmentationCode0
SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation—0
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images—0
VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with LanguageCode0
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation—0
Image Segmentation: Inducing graph-based learningCode0
Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan AfricaCode0
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis—0
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation—0
PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation—0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation—0
Framework for lung CT image segmentation based on UNet++—0
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation—0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training—0
IAM: Enhancing RGB-D Instance Segmentation with New BenchmarksCode0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation—0
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images—0
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation—0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
Towards Continual Universal Segmentation—0
Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation—0
Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation—0
The Impact Label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation—0
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation—0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation—0
Scaling up Image Segmentation across Data and Tasks—0
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape MatchingCode0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
Take the Bull by the Horns: Learning to Segment Hard SamplesCode0
UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery—0
Convex Combination Star Shape Prior for Data-driven Image 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