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Segmentation

Papers

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Showing 9151–9175 of 13072 papers

TitleStatusHype
ReSTR: Convolution-free Referring Image Segmentation Using Transformers—0
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras—0
Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation—0
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods—0
Rethinking Convolutional Semantic Segmentation Learning—0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation—0
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching—0
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View—0
Rethinking Range-View LiDAR Segmentation in Adverse Weather—0
Rethinking Range View Representation for LiDAR Segmentation—0
Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study—0
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection—0
Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms—0
Rethinking U-net Skip Connections for Biomedical Image Segmentation—0
Rethinking Unsupervised Neural Superpixel Segmentation—0
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?—0
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems—0
Retina-Inspired Object Motion Segmentation for Event-Cameras—0
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network—0
Retinal Image Segmentation with a Structure-Texture Demixing Network—0
Retinal Image Segmentation with Small Datasets—0
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation—0
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network—0
Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified