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Segmentation

Papers

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Showing 5401–5425 of 13072 papers

TitleStatusHype
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosisCode0
Text and Click inputs for unambiguous open vocabulary instance segmentationCode0
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models—0
Bayesian Neural Networks for 2D MRI Segmentation—0
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation—0
Language-guided Few-shot Semantic Segmentation—0
Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)—0
Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise StressCode0
GRJointNET: Synergistic Completion and Part Segmentation on 3D Incomplete Point Clouds—0
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024—0
LACFormer: Toward accurate and efficient polyp segmentationCode0
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging—0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse—0
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery—0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
GMISeg: General Medical Image Segmentation without Re-Training—0
A recurrent connectionist model of melody perception : An exploration using TRACX2—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
ChronoPscychosis: Temporal Segmentation and Its Impact on Schizophrenia Classification Using Motor Activity Data—0
CASR: Refining Action Segmentation via Marginalizing Frame-levle Causal Relationships—0
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers—0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement LearningCode0
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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