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Semantic Segmentation

Papers

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Showing 9426–9450 of 14763 papers

TitleStatusHype
Multiscale Combinatorial Grouping—0
Multi-Scale Context Intertwining for Semantic Segmentation—0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation—0
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection—0
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines—0
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation—0
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation—0
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds—0
Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation—0
Multiscale Progressive Text Prompt Network for Medical Image Segmentation—0
Multi-Scale Saliency Detection using Dictionary Learning—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
Point Cloud Semantic Segmentation using Multi Scale Sparse Convolution Neural Network—0
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation—0
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input—0
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection—0
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation—0
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
Multi-source adversarial transfer learning based on similar source domains with local features—0
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation—0
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots—0
Multispecies fruit flower detection using a refined semantic segmentation network—0
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation—0
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation—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