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Semantic Segmentation

Papers

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Showing 9876–9900 of 14763 papers

TitleStatusHype
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery—0
Robust and fully automated segmentation of mandible from CT scans—0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations—0
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior—0
Using the Split Bregman Algorithm to Solve the Self-repelling Snake Model—0
Robust Box Prompt based SAM for Medical Image Segmentation—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT—0
Robust cDNA microarray image segmentation and analysis technique based on Hough circle transform—0
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation—0
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data—0
Robust deep learning-based semantic organ segmentation in hyperspectral images—0
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images—0
Robust Dense Mapping for Large-Scale Dynamic Environments—0
US-net for robust and efficient nuclei instance segmentation—0
Robust Histopathology Image Analysis: To Label or to Synthesize?—0
Robustifying deep networks for image segmentation—0
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis—0
Robust image segmentation model based on binary level set—0
Robust Image Segmentation Quality Assessment—0
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots—0
Q-learning optimization in a multi-agents system for image segmentation—0
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input—0
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution—0
Robust Medical Instrument Segmentation Challenge 2019—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