SOTAVerified

Segmentation

Papers

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Showing 126–150 of 13072 papers

TitleStatusHype
Zero-Shot Tree Detection and Segmentation from Aerial Forest ImageryCode1
Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal EmbeddingCode0
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis—0
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI—0
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation—0
Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation—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
PathFL: Multi-Alignment Federated Learning for Pathology Image SegmentationCode0
SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning—0
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic SegmentationCode1
IRS: Incremental Relationship-guided Segmentation for Digital PathologyCode0
MIAS-SAM: Medical Image Anomaly Segmentation without thresholdingCode0
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions—0
YH-MINER: Multimodal Intelligent System for Natural Ecological Reef Metric Extraction—0
LiDAR Based Semantic Perception for Forklifts in Outdoor Environments—0
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network—0
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot SegmentationCode2
Geometric Feature Prompting of Image Segmentation Models—0
An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal SegmentationCode0
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image SegmentationCode1
The Missing Point in Vision Transformers for Universal Image SegmentationCode2
LlamaSeg: Image Segmentation via Autoregressive Mask Generation—0
Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language ModelsCode0
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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