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Semantic Segmentation

Papers

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Showing 6726–6750 of 14763 papers

TitleStatusHype
Learning Common Representation from RGB and Depth Images—0
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Frustratingly Easy Model Generalization by Dummy Risk Minimization—0
Inductive Graph Neural Networks for Moving Object Segmentation—0
Industrial Synthetic Segment Pre-training—0
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques—0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards—0
Inference of hidden structures in complex physical systems by multi-scale clustering—0
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts—0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures—0
De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation—0
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation—0
Assessing the Role of Random Forests in Medical Image Segmentation—0
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images—0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation—0
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation—0
Learning color space adaptation from synthetic to real images of cirrus clouds—0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
Conditional Conformal Risk Adaptation—0
Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples—0
Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation—0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors—0
From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation—0
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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