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Semantic Segmentation

Papers

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Showing 7376–7400 of 14763 papers

TitleStatusHype
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative—0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking—0
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision—0
Knowledge Consultation for Semi-Supervised Semantic Segmentation—0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset—0
Baybayin Character Instance Detection—0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation—0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images—0
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images—0
Knowledge Adaptation for Efficient Semantic Segmentation—0
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network—0
K-means segmentation based-on lab color space for embryo detection in incubated egg—0
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks—0
Learning Common Representation from RGB and Depth Images—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge—0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation—0
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans—0
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes—0
KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation—0
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing—0
Kiwifruit detection in challenging conditions—0
Deep Learning Model with GA based Feature Selection and Context Integration—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