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Semantic Segmentation

Papers

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Showing 9251–9275 of 14763 papers

TitleStatusHype
UNet++ and LSTM combined approach for Breast Ultrasound Image Segmentation—0
Multi-rater Prompting for Ambiguous Medical Image Segmentation—0
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation—0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation—0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
U-Net Based Multi-instance Video Object Segmentation—0
UNet Based Pipeline for Lung Segmentation from Chest X-Ray Images—0
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds—0
U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery—0
Zero-Shot Gaze-based Volumetric Medical Image Segmentation—0
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild—0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities—0
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data—0
U-Netmer: U-Net meets Transformer for medical image segmentation—0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation—0
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data—0
Image Segmentation, Compression and Reconstruction from Edge Distribution Estimation with Random Field and Random Cluster Theories—0
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models—0
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning—0
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models—0
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery—0
U-Net Training with Instance-Layer Normalization—0
Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet—0
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation—0
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection—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