SOTAVerified

Segmentation

Papers

Showing 176200 of 13072 papers

TitleStatusHype
BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation0
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual ReasoningCode1
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing ModalitiesCode0
TAGS: 3D Tumor-Adaptive Guidance for SAM0
UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark DatasetCode1
From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation0
SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance LearningCode1
Zero-Shot Gaze-based Volumetric Medical Image Segmentation0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition0
Unlocking the Power of SAM 2 for Few-Shot SegmentationCode1
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation0
Instance Segmentation for Point Sets0
Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation0
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR0
Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection0
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey0
Industrial Synthetic Segment Pre-training0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching0
Attention-Enhanced U-Net for Accurate Segmentation of COVID-19 Infected Lung Regions in CT Scans0
Road Segmentation for ADAS/AD Applications0
PRS-Med: Position Reasoning Segmentation with Vision-Language Model in Medical Imaging0
Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image SegmentationCode0
Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Boosting Off-Road Segmentation via Photometric Distortion and Exponential Moving Average0
MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image SegmentationCode1
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing ModalitiesCode1
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Benchmark Results

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