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Semantic Segmentation

Papers

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Showing 10401–10450 of 14763 papers

TitleStatusHype
Instance-sensitive Fully Convolutional Networks—0
Instance-Specific Feature Propagation for Referring Segmentation—0
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation—0
Instant Domain Augmentation for LiDAR Semantic Segmentation—0
INSTA-YOLO: Real-Time Instance Segmentation—0
Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks—0
Integrated Deep and Shallow Networks for Salient Object Detection—0
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images—0
Integrating Knowledge and Reasoning in Image Understanding—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images—0
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays—0
Integrating Semi-Supervised and Active Learning for Semantic Segmentation—0
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation—0
Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions—0
Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images—0
Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin—0
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle—0
Intelligent image synthesis to attack a segmentation CNN using adversarial learning—0
Intelligent Railroad Grade Crossing: Leveraging Semantic Segmentation and Object Detection for Enhanced Safety—0
Intensity and Texture Correction of Omnidirectional Image Using Camera Images for Indirect Augmented Reality—0
Interactive Binary Image Segmentation with Edge Preservation—0
Interactive Boundary Prediction for Object Selection—0
Interactive Deep Refinement Network for Medical Image Segmentation—0
Interactive Full Image Segmentation by Considering All Regions Jointly—0
Interactive Image Segmentation From A Feedback Control Perspective—0
Interactive Image Segmentation Using Constrained Dominant Sets—0
Interactive Image Segmentation using Label Propagation through Complex Networks—0
Interactive Image Segmentation via Backpropagating Refinement Scheme—0
Interactive Image Selection and Training for Brain Tumor Segmentation Network—0
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning—0
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration—0
Interactive Object Segmentation with Dynamic Click Transform—0
Interactive Segment Anything NeRF with Feature Imitation—0
Interactive segmentation of medical images through fully convolutional neural networks—0
Interactive Segmentation of Radiance Fields—0
Interactive Segmentation on RGBD Images via Cue Selection—0
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces—0
Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans—0
Interactive Video Object Segmentation in the Wild—0
Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video—0
Interclass Prototype Relation for Few-Shot Segmentation—0
Interior point search for nonparametric image segmentation—0
Internal-External Boundary Attention Fusion for Glass Surface Segmentation—0
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—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