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Semantic Segmentation

Papers

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Showing 5926–5950 of 14763 papers

TitleStatusHype
Patch Network for medical image Segmentation—0
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation—0
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal ImagesCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning—0
DISCO: Distributed Inference with Sparse Communications—0
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance SegmentationCode1
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation—0
Non-pooling Network for medical image segmentation—0
Semantic Segmentation of Urban Textured Meshes Through Point Sampling—0
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNNCode1
Effects of Architectures on Continual Semantic Segmentation—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
Hadamard Layer to Improve Semantic Segmentation—0
A Survey on Semi-Supervised Semantic Segmentation—0
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation—0
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism—0
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering—0
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators—0
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones—0
Model Doctor for Diagnosing and Treating Segmentation ErrorCode0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Frequency-domain Learning for Volumetric-based 3D Data Perception—0
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation—0
Towards Efficient Visual Adaption via Structural Re-parameterizationCode1
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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