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 1551–1600 of 5035 papers

TitleStatusHype
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting—0
Solar Filaments Detection using Active Contours Without Edges—0
Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction—0
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation—0
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency RegularizationCode0
Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions—0
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance DependenciesCode0
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer LesionsCode0
ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation—0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation—0
A Large-scale Interpretable Multi-modality Benchmark for Facial Image Forgery Localization—0
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models—0
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation—0
When SAM2 Meets Video Shadow and Mirror DetectionCode0
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach—0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image SegmentationCode0
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation—0
A Unifying Family of Data-Adaptive Partitioning Algorithms—0
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation—0
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings—0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Stochastic Model of siRNA Endosomal Escape Mediated by Fusogenic Peptides in OVCAR-3Code0
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI SegmentationCode0
Review of Fruit Tree Image Segmentation—0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
Pitfalls of topology-aware image segmentation—0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
In-context learning for medical image segmentation—0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its DeploymentCode0
MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance—0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation—0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer—0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors—0
Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin—0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
Utilizing Multi-step Loss for Single Image Reflection RemovalCode0
Automatic Image Annotation for Mapped Features Detection—0
Structured IB: Improving Information Bottleneck with Structured Feature Learning—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