SOTAVerified

Segmentation

Papers

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Showing 3151–3175 of 13072 papers

TitleStatusHype
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
Talk2SAM: Text-Guided Semantic Enhancement for Complex-Shaped Object SegmentationCode0
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis—0
Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal EmbeddingCode0
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI—0
PixelThink: Towards Efficient Chain-of-Pixel Reasoning—0
Federated Unsupervised Semantic Segmentation—0
Robust and Annotation-Free Wound Segmentation on Noisy Real-World Pressure Ulcer Images: Towards Automated DESIGN-R Assessment—0
Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation—0
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation—0
PathFL: Multi-Alignment Federated Learning for Pathology Image SegmentationCode0
SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning—0
MIAS-SAM: Medical Image Anomaly Segmentation without thresholdingCode0
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network—0
LiDAR Based Semantic Perception for Forklifts in Outdoor Environments—0
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions—0
IRS: Incremental Relationship-guided Segmentation for Digital PathologyCode0
YH-MINER: Multimodal Intelligent System for Natural Ecological Reef Metric Extraction—0
Geometric Feature Prompting of Image Segmentation Models—0
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation—0
LlamaSeg: Image Segmentation via Autoregressive Mask Generation—0
Lung Nodule Segmentation: Exploring Data Efficiency and Advanced Architectures—0
Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language ModelsCode0
An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal SegmentationCode0
What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified