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Semantic Segmentation

Papers

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Showing 9101–9125 of 14763 papers

TitleStatusHype
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation—0
What could go wrong? Discovering and describing failure modes in computer vision—0
Two Approaches to Supervised Image Segmentation—0
Two Decades of Colorization and Decolorization for Images and Videos—0
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning—0
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation—0
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images—0
Two-Phase Learning for Weakly Supervised Object Localization—0
Multispecies fruit flower detection using a refined semantic segmentation network—0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation—0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Two stages for visual object tracking—0
Meta Segmentation Network for Ultra-Resolution Medical Images—0
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling—0
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots—0
Two-Stream Networks for Object Segmentation in Videos—0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images—0
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation—0
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation—0
Multi-source adversarial transfer learning based on similar source domains with local features—0
U4D: Unsupervised 4D Dynamic Scene Understanding—0
What Image Features Boost Housing Market Predictions?—0
UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV—0
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks—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