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Semantic Segmentation

Papers

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Showing 7726–7750 of 14763 papers

TitleStatusHype
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection—0
Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation—0
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training—0
Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes—0
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation—0
Iterative Instance Segmentation—0
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning—0
Iterative, Deep Synthetic Aperture Sonar Image Segmentation—0
Deep learning based automatic detection of offshore oil slicks using SAR data and contextual information—0
Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation—0
Iterative Deep Compression : Compressing Deep Networks for Classification and Semantic Segmentation—0
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis—0
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation—0
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment—0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation—0
Background-Foreground Segmentation for Interior Sensing in Automotive Industry—0
ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation—0
Deep Learning Based 3D Segmentation: A Survey—0
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation—0
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation—0
Deep Learning-Based 3D Instance and Semantic Segmentation: A Review—0
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation—0
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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
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