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Semantic Segmentation

Papers

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Showing 8101–8150 of 14763 papers

TitleStatusHype
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation—0
Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding—0
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation—0
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning—0
Masked strategies for images with small objects—0
Integrating Semi-Supervised and Active Learning for Semantic Segmentation—0
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays—0
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image 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
Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection—0
Autonomous Quilt Spreading for Caregiving Robots—0
Mask Frozen-DETR: High Quality Instance Segmentation with One GPU—0
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation—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-Guided Matting in the Wild—0
Mask-guided sample selection for Semi-Supervised Instance Segmentation—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 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
Maskomaly:Zero-Shot Mask Anomaly Segmentation—0
MaskPlus: Improving Mask Generation for Instance Segmentation—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Deep Consensus Learning—0
Autonomous Hiking Trail Navigation via Semantic Segmentation and Geometric Analysis—0
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation—0
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation—0
Integrated Deep and Shallow Networks for Salient Object Detection—0
Deep Conditional Shape Models for 3D cardiac image segmentation—0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation—0
Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks—0
INSTA-YOLO: Real-Time Instance Segmentation—0
Autonomous Driving in Reality with Reinforcement Learning and Image Translation—0
Autonomous crater detection on asteroids using a fully-convolutional neural network—0
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning—0
Active Label Refinement for Semantic Segmentation of Satellite Images—0
Instant Domain Augmentation for LiDAR Semantic Segmentation—0
MaskUno: Switch-Split Block For Enhancing Instance Segmentation—0
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation—0
Instance-Specific Feature Propagation for Referring Segmentation—0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation—0
Instance-sensitive Fully Convolutional Networks—0
Deep Classification Network for Monocular Depth Estimation—0
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
Instance segmentation with the number of clusters incorporated in embedding learning—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