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Semantic Segmentation

Papers

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Showing 3351–3375 of 14763 papers

TitleStatusHype
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryCode0
Early Fusion of Features for Semantic Segmentation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Point-VOS: Pointing Up Video Object Segmentation—0
On the Effect of Image Resolution on Semantic Segmentation—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
Color Recognition in Challenging Lighting Environments: CNN Approach—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
Energy-based Domain-Adaptive Segmentation with Depth Guidance—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite ImagesCode1
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything ModelCode2
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Constrained Multiview Representation for Self-supervised Contrastive Learning—0
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical SegmentationCode0
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation—0
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
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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