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Semantic Segmentation

Papers

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Showing 9351–9400 of 14763 papers

TitleStatusHype
Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity—0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
Multi-focus Image Fusion Based on Similarity Characteristics—0
Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
Multi-hypothesis contextual modeling for semantic segmentation—0
Multi-Instance Object Segmentation With Occlusion Handling—0
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation—0
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation—0
Multi-lane Detection Using Instance Segmentation and Attentive Voting—0
Multi-layered Image Representation for Image Interpretation—0
Multi-layer Feature Aggregation for Deep Scene Parsing Models—0
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation—0
Multilayer Multiset Neuronal Networks -- MMNNs—0
Multi Layer Neural Networks as Replacement for Pooling Operations—0
Multi-level Activation for Segmentation of Hierarchically-nested Classes—0
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation—0
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data—0
Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation—0
Multilevel Threshold Based Gray Scale Image Segmentation using Cuckoo Search—0
Multilingual Image Corpus: Annotation Protocol—0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation—0
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images—0
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention—0
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation—0
Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets—0
Multimodal Contrastive Training for Visual Representation Learning—0
Multi-modal deep network for RGB-D segmentation of clothes—0
Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions—0
Multimodal End-to-End Autonomous Driving—0
Multi-Modal Evaluation Approach for Medical Image Segmentation—0
Multimodal generative semantic communication based on latent diffusion model—0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
Multi-Modality Cardiac Image Analysis with Deep Learning—0
Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior—0
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation—0
Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation—0
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation—0
Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields—0
Multimodal Point Cloud Semantic Segmentation With Virtual Point Enhancement—0
Multi-Modal Prototypes for Open-World Semantic Segmentation—0
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling—0
Multimodal Self-Supervised Learning for Medical Image Analysis—0
Multi Modal Semantic Segmentation using Synthetic Data—0
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey—0
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation—0
Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis—0
Multi-Object Discovery by Low-Dimensional Object Motion—0
Multi-Object Tracking and Segmentation with a Space-Time Memory Network—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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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