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Semantic Segmentation

Papers

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Showing 10501–10550 of 14763 papers

TitleStatusHype
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification—0
Retrieval-guided Cross-view Image Synthesis—0
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning—0
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set—0
Reversible Image Merging for Low-level Machine Vision—0
Reversible Recursive Instance-level Object Segmentation—0
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information—0
Review of Fruit Tree Image Segmentation—0
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks—0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Best Practices in Active Learning for Semantic Segmentation—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation—0
Revisiting Graph Construction for Fast Image Segmentation—0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
Revisiting MAE pre-training for 3D medical image segmentation—0
Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving—0
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation—0
Revisiting Near/Remote Sensing with Geospatial Attention—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation—0
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs—0
Rewards-based image analysis in microscopy—0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation—0
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget—0
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2—0
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training—0
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach—0
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter—0
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory—0
RGPNet: A Real-Time General Purpose Semantic Segmentation—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
Ridge Regression Neural Network for Pediatric Bone Age Assessment—0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation—0
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images—0
RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety—0
Extending CLIP's Image-Text Alignment to Referring Image Segmentation—0
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features—0
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation—0
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception—0
RIT-Eyes: Rendering of near-eye images for eye-tracking applications—0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud—0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
RLCorrector: Reinforced Proofreading for Cell-level Microscopy Image Segmentation—0
RMem: Restricted Memory Banks Improve Video Object Segmentation—0
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement—0
RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion—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