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 801–850 of 5035 papers

TitleStatusHype
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation—0
Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image SizesCode1
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep StagingCode0
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image SegmentationCode0
Enhancing Cross-Modal Medical Image Segmentation through CompositionalityCode0
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationCode2
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei SegmentationCode1
A Short Review and Evaluation of SAM2's Performance in 3D CT Image SegmentationCode3
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?—0
Radio U-Net: a convolutional neural network to detect diffuse radio sources in galaxy clusters and beyond—0
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models—0
SAM-UNet:Enhancing Zero-Shot Segmentation of SAM for Universal Medical ImagesCode1
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous DrivingCode0
Flemme: A Flexible and Modular Learning Platform for Medical ImagesCode1
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment—0
Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume BehaviorCode0
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image SegmentationCode3
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation—0
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image SegmentationCode1
Gradient Alignment Improves Test-Time Adaptation for Medical Image SegmentationCode1
Cross-aware Early Fusion with Stage-divided Vision and Language Transformer Encoders for Referring Image Segmentation—0
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality CollaborationCode2
Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical DataCode0
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2—0
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image SegmentationCode1
Wavelet based inpainting detection—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Hyperbolic Learning with Multimodal Large Language Models—0
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and MoreCode5
Is SAM 2 Better than SAM in Medical Image Segmentation?—0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
How Well Can Vision Language Models See Image Details?—0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
Post-Mortem Human Iris Segmentation Analysis with Deep Learning—0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods—0
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Interactive 3D Medical Image Segmentation with SAM 2Code1
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images—0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone—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