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Segmentation

Papers

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Showing 3576–3600 of 13072 papers

TitleStatusHype
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach—0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation—0
3D Shape Segmentation with Geometric Deep Learning—0
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation—0
Deep Patch-based Human Segmentation—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
Dense Segmentation-Aware Descriptors—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation—0
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN—0
Deep Neural Patchworks: Coping with Large Segmentation Tasks—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation—0
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs—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