SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5626–5650 of 13072 papers

TitleStatusHype
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