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Semantic Segmentation

Papers

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Showing 8101–8150 of 14763 papers

TitleStatusHype
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network—0
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information—0
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsCode0
A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image DehazingCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Equivariance versus Augmentation for Spherical ImagesCode0
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level AnnotationsCode1
A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition—0
Uncertainty Modeling for Out-of-Distribution GeneralizationCode1
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation—0
SCR: Smooth Contour Regression with Geometric Priors—0
Supervision by Denoising for Medical Image Segmentation—0
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban MeshesCode1
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks—0
Random Ferns for Semantic Segmentation of PolSAR Images—0
Context Autoencoder for Self-Supervised Representation LearningCode2
A Topology-Attention ConvLSTM Network and Its Application to EM ImagesCode0
Corrupted Image Modeling for Self-Supervised Visual Pre-Training—0
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey—0
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting—0
DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation—0
StandardSim: A Synthetic Dataset For Retail Environments—0
Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network AcceleratorsCode0
Heed the Noise in Performance Evaluations in Neural Architecture Search—0
CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place RecognitionCode0
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts—0
Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck ZonesCode0
Enhancing Organ at Risk Segmentation with Improved Deep Neural NetworksCode1
Weakly Supervised Nuclei Segmentation via Instance LearningCode1
On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array—0
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts—0
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimizationCode1
Laplacian2Mesh: Laplacian-Based Mesh UnderstandingCode1
Access Control of Object Detection Models Using Encrypted Feature Maps—0
From Explanations to Segmentation: Using Explainable AI for Image Segmentation—0
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Continual Attentive Fusion for Incremental Learning in Semantic SegmentationCode1
Dilated Continuous Random Field for Semantic SegmentationCode0
Modeling the Background for Incremental and Weakly-Supervised Semantic SegmentationCode1
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical ImagesCode2
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds—0
Self Semi Supervised Neural Architecture Search for Semantic Segmentation—0
3D Visualization and Spatial Data Mining for Analysis of LULC Images—0
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image SegmentationCode1
Möbius Convolutions for Spherical CNNsCode1
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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