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Semantic Segmentation

Papers

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Showing 9751–9800 of 14763 papers

TitleStatusHype
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning—0
RAFT: Robust Augmentation of FeaTures for Image Segmentation—0
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks—0
Use square root affinity to regress labels in semantic segmentation—0
Retrain or not retrain? -- efficient pruning methods of deep CNN networks—0
Retrieval and Localization with Observation Constraints—0
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
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability—0
RadSAM: Segmenting 3D radiological images with a 2D promptable model—0
Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation—0
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set—0
Radio U-Net: a convolutional neural network to detect diffuse radio sources in galaxy clusters and beyond—0
Radiological images and machine learning: trends, perspectives, and prospects—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation—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
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision—0
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation—0
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds—0
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries—0
Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality—0
MSE Loss with Outlying Label for Imbalanced Classification—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
Using Deep Learning to Count Albatrosses from Space—0
Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image 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
MSDU-net: A Multi-Scale Dilated U-net for Blur Detection—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Using Diffusion Priors for Video Amodal Segmentation—0
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation—0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images—0
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs—0
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation—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