SOTAVerified

Segmentation

Papers

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Showing 5901–5925 of 13072 papers

TitleStatusHype
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
3D-TexSeg: Unsupervised Segmentation of 3D Texture using Mutual Transformer Learning—0
2D-Guided 3D Gaussian Segmentation—0
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions—0
Weakly Labeling the Antarctic: The Penguin Colony Case—0
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks—0
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
A Vessel-Segmentation-Based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis—0
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
Dense Dual-Path Network for Real-time Semantic Segmentation—0
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency—0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input—0
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling—0
Denoising Diffusion Medical Models—0
Denoising and Segmentation of Epigraphical Scripts—0
DeNISE: Deep Networks for Improved Segmentation Edges—0
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder—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