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Semantic Segmentation

Papers

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Showing 9151–9175 of 14763 papers

TitleStatusHype
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration—0
Multiscale Progressive Text Prompt Network for Medical Image Segmentation—0
ULTra: Unveiling Latent Token Interpretability in Transformer Based Understanding—0
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
What is Wrong with Continual Learning in Medical Image Segmentation?—0
Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation—0
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation—0
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds—0
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation—0
Unbalanced Feature Transport for Exemplar-based Image Translation—0
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation—0
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines—0
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer—0
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection—0
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation—0
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps—0
What Makes for Good Views for Contrastive Learning?—0
Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains—0
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation—0
Bayesian Neural Networks for 2D MRI Segmentation—0
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation—0
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation—0
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation—0
Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing—0
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified