SOTAVerified

Segmentation

Papers

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Showing 12201–12250 of 13072 papers

TitleStatusHype
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
2D-Guided 3D Gaussian Segmentation—0
Coherent Loss: A Generic Framework for Stable Video Segmentation—0
Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations—0
Coherent Parametric Contours for Interactive Video Object Segmentation—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images—0
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation—0
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation—0
Collaborative Attention Memory Network for Video Object Segmentation—0
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction—0
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation—0
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation—0
Collaborative Position Reasoning Network for Referring Image Segmentation—0
Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation—0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation—0
Color-based Segmentation of Sky/Cloud Images From Ground-based Cameras—0
Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet—0
Colorectal Polyp Segmentation by U-Net with Dilation Convolution—0
Color image segmentation based on a convex K-means approach—0
Color Image Segmentation Metrics—0
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means—0
Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding—0
Color information for region segmentation—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation—0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification—0
CaDIS: Cataract Dataset for Image Segmentation—0
Colour augmentation for improved semi-supervised semantic segmentation—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation—0
Combinatorial Energy Learning for Image Segmentation—0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation—0
Combine CRF and MMSEG to Boost Chinese Word Segmentation in Social Media—0
Combined Approach for Image Segmentation—0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation—0
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images—0
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification—0
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks—0
Real-time Semantic Segmentation with Context Aggregation Network—0
Combining Image- and Geometric-based Deep Learning for Shape Regression: A Comparison to Pixel-level Methods for Segmentation in Chest X-Ray—0
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation—0
Combining local regularity estimation and total variation optimization for scale-free texture 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