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Semantic Segmentation

Papers

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Showing 8101–8125 of 14763 papers

TitleStatusHype
Autonomous Quilt Spreading for Caregiving Robots—0
Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding—0
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images—0
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning—0
Masked strategies for images with small objects—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Integrating Knowledge and Reasoning in Image Understanding—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation—0
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN—0
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images—0
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection—0
Mask Frozen-DETR: High Quality Instance Segmentation with One GPU—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Deep Consensus Learning—0
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation—0
Autonomous Hiking Trail Navigation via Semantic Segmentation and Geometric Analysis—0
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation—0
Mask-Guided Matting in the Wild—0
Mask-guided sample selection for Semi-Supervised Instance Segmentation—0
Integrated Deep and Shallow Networks for Salient Object Detection—0
Deep Conditional Shape Models for 3D cardiac image segmentation—0
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection—0
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features—0
Deep Compatible Learning for Partially-Supervised Medical Image 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