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

Showing 451–500 of 5035 papers

TitleStatusHype
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
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer LesionsCode0
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance DependenciesCode0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation—0
ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation—0
Towards Open-Vocabulary Remote Sensing Image Semantic SegmentationCode2
A Large-scale Interpretable Multi-modality Benchmark for Facial Image Forgery Localization—0
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation—0
When SAM2 Meets Video Shadow and Mirror DetectionCode0
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models—0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image SegmentationCode0
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach—0
Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot GeneralizationCode1
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image SegmentationCode1
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
Stochastic Model of siRNA Endosomal Escape Mediated by Fusogenic Peptides in OVCAR-3Code0
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI SegmentationCode0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Efficient MedSAMs: Segment Anything in Medical Images on LaptopCode7
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings—0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
Review of Fruit Tree Image Segmentation—0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Spike2Former: Efficient Spiking Transformer for High-performance Image SegmentationCode1
Pitfalls of topology-aware image segmentation—0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
In-context learning for medical image segmentation—0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image SegmentationCode1
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
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance—0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer—0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation—0
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
Automatic Image Annotation for Mapped Features Detection—0
Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin—0
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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