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Segmentation

Papers

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Showing 4001–4050 of 13072 papers

TitleStatusHype
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception—0
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye ViewCode1
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets—0
Edge-Aware Mirror Network for Camouflaged Object DetectionCode1
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray imagesCode1
Building and Road Segmentation Using EffUNet and Transfer Learning Approach—0
BPNet: Bézier Primitive Segmentation on 3D Point CloudsCode1
Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery SegmentationCode0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded RegistrationCode0
Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI—0
A Deep Active Contour Model for Delineating Glacier Calving Fronts—0
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging—0
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray imagesCode1
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks—0
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task—0
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentationCode0
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images—0
Towards accurate instance segmentation in large-scale LiDAR point cloudsCode1
Conditional Boundary Loss for Semantic SegmentationCode1
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking—0
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging—0
Spherical Feature Pyramid Networks For Semantic Segmentation—0
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
Prompting Diffusion Representations for Cross-Domain Semantic SegmentationCode0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Multi-Modal Prototypes for Open-World Semantic Segmentation—0
Source Identification: A Self-Supervision Task for Dense Prediction—0
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CTCode1
Interactive Image Segmentation with Cross-Modality Vision TransformersCode0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation—0
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving SparsityCode0
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration ApproachCode0
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI—0
Semantic Segmentation on 3D Point Clouds with High Density Variations—0
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
Hierarchical Open-vocabulary Universal Image SegmentationCode2
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation—0
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion ModelsCode0
DifFSS: Diffusion Model for Few-Shot Semantic SegmentationCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object SegmentationCode1
An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomographyCode1
SAMAug: Point Prompt Augmentation for Segment Anything ModelCode1
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes—0
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement—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