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Segmentation

Papers

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Showing 5601–5650 of 13072 papers

TitleStatusHype
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
HistNet: Histopathology Segmentation Using Context Aggregation—0
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation—0
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels—0
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation—0
Coherent Parametric Contours for Interactive Video Object Segmentation—0
Context-aware Padding for Semantic Segmentation—0
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
GCCRR: A Short Sequence Gait Cycle Segmentation Method Based on Ear-Worn IMU—0
Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
Coherent Loss: A Generic Framework for Stable Video Segmentation—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
3D Graph Attention Networks for High Fidelity Pediatric Glioma Segmentation—0
Context-aware virtual adversarial training for anatomically-plausible segmentation—0
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation—0
H-Net: A Multitask Architecture for Simultaneous 3D Force Estimation and Stereo Semantic Segmentation in Intracardiac Catheters—0
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging—0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation—0
HOIST-Former: Hand-held Objects Identification, Segmentation, and Tracking in the Wild—0
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation—0
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data—0
Gaussian Filter in CRF Based Semantic Segmentation—0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation—0
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization—0
GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting—0
Gaussian Conditional Random Field Network for Semantic Segmentation—0
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting—0
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation—0
Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation—0
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound—0
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network—0
House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach—0
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation—0
How Can CNNs Use Image Position for Segmentation?—0
Gated Path Selection Network for Semantic Segmentation—0
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation—0
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System—0
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling—0
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?—0
How Good is Automatic Segmentation as a Multimodal Discourse Annotation Aid?—0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation—0
COCONut: Modernizing COCO Segmentation—0
How precise are performance estimates for typical medical image segmentation tasks?—0
Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation—0
Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery—0
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols—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