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Segmentation

Papers

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Showing 7251–7300 of 13072 papers

TitleStatusHype
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation—0
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations—0
Matching-Constrained Active Contours—0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
Material Recognition in the Wild with the Materials in Context Database—0
Material Segmentation of Multi-View Satellite Imagery—0
SAM^Med: A medical image annotation framework based on large vision model—0
Chinese/English mixed Character Segmentation as Semantic Segmentation—0
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments—0
Detecting Reflections by Combining Semantic and Instance Segmentation—0
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Detecting Scenes in Fiction: A new Segmentation Task—0
Chinese Discourse Segmentation Using Bilingual Discourse Commonality—0
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation—0
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images—0
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation—0
Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction—0
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation—0
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation—0
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation—0
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement—0
A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors—0
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation—0
Detection and Segmentation of 2D Curved Reflection Symmetric Structures—0
Detection and Segmentation of Cosmic Objects Based on Adaptive Thresholding and Back Propagation Neural Network—0
Motion Trajectory Segmentation via Minimum Cost Multicuts—0
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation—0
Chest X-Ray Pneumothorax Segmentation with the Multistep Post-Processing—0
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery—0
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation—0
MCMC Guided CNN Training and Segmentation for Pancreas Extraction—0
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors—0
A Principled Deep Random Field Model for Image Segmentation—0
Motion Segmentation via Global and Local Sparse Subspace Optimization—0
Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold—0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets—0
Motor, un outil de segmentation accessible en ligne (Motor, a segmentation tool accessible online)—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding—0
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation—0
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars—0
Semantically Stealthy Adversarial Attacks against Segmentation Models—0
Motion-Guided Cascaded Refinement Network for Video Object Segmentation—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—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