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Semantic Segmentation

Papers

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Showing 10651–10700 of 14763 papers

TitleStatusHype
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation—0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches—0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images—0
StyleLess layer: Improving robustness for real-world driving—0
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
Test-Time Training for Deformable Multi-Scale Image Registration—0
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data—0
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation—0
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation—0
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization—0
Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images—0
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios—0
Dilated SpineNet for Semantic Segmentation—0
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning—0
Roughness Index and Roughness Distance for Benchmarking Medical SegmentationCode0
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography—0
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency—0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation—0
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Human De-occlusion: Invisible Perception and Recovery for Humans—0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
Pathological Image Segmentation with Noisy Labels—0
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation—0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline—0
Improving Image co-segmentation via Deep Metric Learning—0
Generic Perceptual Loss for Modeling Structured Output Dependencies—0
Topology-Aware Segmentation Using Discrete Morse Theory—0
Semi-Supervised Learning for Eye Image Segmentation—0
Color image segmentation based on a convex K-means approach—0
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images—0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions—0
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on VideoCode0
Learned Gradient Compression for Distributed Deep Learning—0
EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation—0
K-expectiles clustering—0
Invertible Residual Network with Regularization for Effective Medical Image Segmentation—0
Deep Consensus Learning—0
S3Net: 3D LiDAR Sparse Semantic Segmentation Network—0
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—0
Image Segmentation Methods for Non-destructive testing Applications—0
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTsCode0
Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics—0
Uncertainty-guided Model Generalization to Unseen Domains—0
Thousand to One: Semantic Prior Modeling for Conceptual Coding—0
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation—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