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Semantic Segmentation

Papers

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Showing 7076–7100 of 14763 papers

TitleStatusHype
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Dense Fusion Classmate Network for Land Cover Classification—0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation—0
Dense Dual-Path Network for Real-time Semantic Segmentation—0
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency—0
Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation—0
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph—0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation—0
RevealNet: Seeing Behind Objects in RGB-D Scans—0
DCD: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber View—0
Dense CNN Learning with Equivalent Mappings—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs—0
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation—0
Dense 3D Visual Mapping via Semantic Simplification—0
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud—0
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors—0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
A Multi-scale Multiple Instance Video Description Network—0
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling—0
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation—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