SOTAVerified

Segmentation

Papers

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Showing 12151–12200 of 13072 papers

TitleStatusHype
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?—0
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images—0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation—0
CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation—0
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?—0
Modified watershed approach for segmentation of complex optical coherence tomographic images—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation—0
Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images—0
Can Foundation Models Reliably Identify Spatial Hazards? A Case Study on Curb Segmentation—0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Can a single image processing algorithm work equally well across all phases of DCE-MRI?—0
Camouflaged Instance Segmentation via Explicit De-Camouflaging—0
CNN-aware Binary Map for General Semantic Segmentation—0
CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography—0
CNN-based fully automatic wrist cartilage volume quantification in MR Image—0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images—0
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
CNN-based Semantic Segmentation using Level Set Loss—0
CNN Cascades for Segmenting Whole Slide Images of the Kidney—0
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF—0
CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite—0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images—0
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing—0
Camera-trap images segmentation using multi-layer robust principal component analysis—0
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning—0
Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics—0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization—0
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning—0
Coarse-to-fine Kidney Segmentation Framework Incorporating with Abnormal Detection and Correction—0
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models—0
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces—0
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces—0
Coarse-to-fine Semantic Segmentation from Image-level Labels—0
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT—0
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation—0
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
COBRA: Cpu-Only aBdominal oRgan segmentAtion—0
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation—0
COCONut: Modernizing COCO Segmentation—0
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation—0
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network—0
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation—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