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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 5035 papers

TitleStatusHype
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted SegmentationCode2
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging SegmentationCode0
Segment Any Architectural Facades (SAAF):An automatic segmentation model for building facades, walls and windows based on multimodal semantics guidance—0
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image SegmentationCode1
Text-guided multi-stage cross-perception network for medical image segmentation—0
A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation—0
Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation—0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation—0
Refer to Anything with Vision-Language Prompts—0
DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling—0
SAM-aware Test-time Adaptation for Universal Medical Image SegmentationCode0
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks—0
Sounding that Object: Interactive Object-Aware Image to Audio Generation—0
Zero-Shot Tree Detection and Segmentation from Aerial Forest ImageryCode1
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation—0
SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training CostCode1
Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation—0
SoundSculpt: Direction and Semantics Driven Ambisonic Target Sound Extraction—0
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image SegmentationCode0
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationCode0
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image SegmentationCode0
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation—0
Federated Unsupervised Semantic Segmentation—0
SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning—0
PathFL: Multi-Alignment Federated Learning for Pathology Image SegmentationCode0
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network—0
Geometric Feature Prompting of Image Segmentation Models—0
The Missing Point in Vision Transformers for Universal Image SegmentationCode2
LlamaSeg: Image Segmentation via Autoregressive Mask Generation—0
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image SegmentationCode1
What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation—0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image SegmentationCode0
Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model—0
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image SegmentationCode0
TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image SegmentationCode0
MSLAU-Net: A Hybird CNN-Transformer Network for Medical Image SegmentationCode1
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of ThoughtsCode0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation—0
CENet: Context Enhancement Network for Medical Image SegmentationCode1
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image SegmentationCode1
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
TAGS: 3D Tumor-Adaptive Guidance for SAM—0
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation—0
SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance LearningCode1
Zero-Shot Gaze-based Volumetric Medical Image Segmentation—0
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation—0
Unintended Bias in 2D+ Image Segmentation and Its Effect on Attention Asymmetry—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