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Semantic Segmentation

Papers

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Showing 8876–8900 of 14763 papers

TitleStatusHype
Shape-Based Single Object Classification Using Ensemble Method Classifiers—0
Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems—0
Shape Consistent 2D Keypoint Estimation under Domain Shift—0
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters—0
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI—0
Shape Constrained Network for Eye Segmentation in the Wild—0
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation—0
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors—0
ShapeOdds: Variational Bayesian Learning of Generative Shape Models—0
Shape of my heart: Cardiac models through learned signed distance functions—0
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation—0
SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes—0
SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network—0
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation—0
Shift and matching queries for video semantic segmentation—0
Shifted Chunk Transformer for Spatio-Temporal Representational Learning—0
Shift-Memory Network for Temporal Scene Segmentation—0
Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection—0
Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module—0
Ship Segmentation and Georeferencing from Static Oblique View Images—0
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids—0
Should we pre-train a decoder in contrastive learning for dense prediction tasks?—0
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models—0
Show and Segment: Universal Medical Image Segmentation via In-Context Learning—0
Show or Tell? Effectively prompting Vision-Language Models for semantic 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