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Semantic Segmentation

Papers

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Showing 7601–7625 of 14763 papers

TitleStatusHype
Learning to Segment Medical Images with Scribble-Supervision Alone—0
Learning to segment on tiny datasets: a new shape model—0
Compact retail shelf segmentation for mobile deployment—0
Learning to Segment Skin Lesions from Noisy Annotations—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
Learning to Segment Under Various Forms of Weak Supervision—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
Learning to Sort Image Sequences via Accumulated Temporal Differences—0
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation—0
Learning to Track Instances without Video Annotations—0
A Semi-automatic System for Ground Truth Generation of Soccer Video Sequences—0
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference—0
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation—0
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation—0
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network—0
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs—0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention—0
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving—0
FGN: Fully Guided Network for Few-Shot Instance Segmentation—0
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction—0
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation—0
Multiset Neurons—0
A Semi-Automated Method for Object Segmentation in Infant's Egocentric Videos to Study Object Perception—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