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 1851–1900 of 5035 papers

TitleStatusHype
Is SAM 2 Better than SAM in Medical Image Segmentation?—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
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
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods—0
Post-Mortem Human Iris Segmentation Analysis with Deep Learning—0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images—0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone—0
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover DesignCode0
MedUHIP: Towards Human-In-the-Loop Medical Segmentation—0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUsCode0
MaskUno: Switch-Split Block For Enhancing Instance Segmentation—0
Robust Box Prompt based SAM for Medical Image Segmentation—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2Code0
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net—0
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation—0
Adaptive Mix for Semi-Supervised Medical Image Segmentation—0
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image SegmentationCode0
Distribution-Aware Replay for Continual MRI Segmentation—0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation—0
Local Binary Pattern(LBP) Optimization for Feature Extraction—0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation—0
Three-dimensional ultrasound-based online system for automated ovarian follicle measurement—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Topology-Preserving Downsampling of Binary ImagesCode0
Segmentation by registration-enabled SAM prompt engineering using five reference imagesCode0
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation—0
Navigating Uncertainty in Medical Image Segmentation—0
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation—0
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability—0
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis—0
Data-driven Verification of DNNs for Object Recognition—0
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture—0
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection—0
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-LabelsCode0
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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