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Semantic Segmentation

Papers

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Showing 10201–10250 of 14763 papers

TitleStatusHype
Image Segmentation via Probabilistic Graph Matching—0
Image Segmentation via Variational Model Based Tailored UNet: A Deep Variational Framework—0
Image Segmentation with Adaptive Spatial Priors from Joint Registration—0
Structure-Aware Image Segmentation with Homotopy Warping—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors—0
Image segmentation with superpixel-based covariance descriptors in low-rank representation—0
Image Segmentation with transformers: An Overview, Challenges and Future—0
Image segmentation with traveling waves in an exactly solvable recurrent neural network—0
Image Semantic Relation Generation—0
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks—0
Image Stitching Based on Planar Region Consensus—0
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation—0
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs—0
Image-to-Lidar Relational Distillation for Autonomous Driving Data—0
Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation—0
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network—0
Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques—0
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology—0
Impact of Label Types on Training SWIN Models with Overhead Imagery—0
Impact of LiDAR visualisations on semantic segmentation of archaeological objects—0
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance—0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices—0
Implementation of improved RGBD 3D target detection model based on FPGA heterogeneous computing architecture—0
Implicit and Explicit Language Guidance for Diffusion-based Visual Perception—0
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning—0
Implicit Modeling -- A Generalization of Discriminative and Generative Approaches—0
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation—0
Implicit Surface Contrastive Clustering for LiDAR Point Clouds—0
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation—0
Implicit U-Net for volumetric medical image segmentation—0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training—0
Importance of Image Enhancement Techniques in Color Image Segmentation: A Comprehensive and Comparative Study—0
Importance of Self-Consistency in Active Learning for Semantic Segmentation—0
Improved Block Merging for 3D Point Cloud Instance Segmentation—0
Improved Crop and Weed Detection with Diverse Data Ensemble Learning—0
Improved-Flow Warp Module for Remote Sensing Semantic Segmentation—0
Improved Inference via Deep Input Transfer—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)—0
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Improved Training for Self-Training by Confidence Assessments—0
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism—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
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