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Semantic Segmentation

Papers

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Showing 6176–6200 of 14763 papers

TitleStatusHype
Gaze Estimation for Assisted Living Environments—0
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods—0
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers—0
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model—0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation—0
High-Resolution Multispectral Dataset for Semantic Segmentation—0
Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs—0
High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection—0
High-resolution semantically-consistent image-to-image translation—0
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
High-throughput Phenotyping of Nematode Cysts—0
Constrained Multiview Representation for Self-supervised Contrastive Learning—0
Highway Driving Dataset for Semantic Video Segmentation—0
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data—0
Gaussian Heritage: 3D Digitization of Cultural Heritage with Integrated Object Segmentation—0
HiMo: High-Speed Objects Motion Compensation in Point Clouds—0
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images—0
Gaussian Filter in CRF Based Semantic Segmentation—0
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation—0
Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentation—0
Constrained Dominant sets and Its applications in computer vision—0
Gaussian Conditional Random Field Network for Semantic Segmentation—0
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting—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