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Semantic Segmentation

Papers

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Showing 5251–5275 of 14763 papers

TitleStatusHype
Automatic Animation of Hair Blowing in Still Portrait Photos—0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss—0
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation—0
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling—0
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds—0
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference—0
Automatically Searching for U-Net Image Translator Architecture—0
Dam Burst: A region-merging-based image segmentation method—0
Automatically eliminating seam lines with Poisson editing in complex relative radiometric normalization mosaicking scenarios—0
3D point cloud segmentation using GIS—0
Automatically Designing CNN Architectures for Medical Image Segmentation—0
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance—0
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges—0
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation—0
DAG-Recurrent Neural Networks For Scene Labeling—0
A Label-Free High-Precision Residual Moveout Picking Method for Travel Time Tomography based on Deep Learning—0
Herding Generalizes Diverse M -Best Solutions—0
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation—0
DaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning—0
Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis—0
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning—0
A Labeled Array Distance Metric for Measuring Image Segmentation Quality—0
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation—0
DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—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