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Semantic Segmentation

Papers

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Showing 7676–7700 of 14763 papers

TitleStatusHype
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Level generation and style enhancement -- deep learning for game development overview—0
Level Set KSVD—0
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO—0
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation—0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning—0
Medical Semantic Segmentation with Diffusion Pretrain—0
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation—0
Detecting Reflections by Combining Semantic and Instance Segmentation—0
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances—0
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation—0
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery—0
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning—0
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation—0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
Leveraging Global Binary Masks for Structure Segmentation in Medical Images—0
3D Feature Distillation with Object-Centric Priors—0
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation—0
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models—0
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups—0
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion—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