SOTAVerified

Segmentation

Papers

Showing 16261650 of 13072 papers

TitleStatusHype
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion0
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater EnvironmentCode1
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Scribble-Based Interactive Segmentation of Medical Hyperspectral Images0
Interactive 3D Medical Image Segmentation with SAM 2Code1
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images0
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMsCode0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
Faster Diffusion Action Segmentation0
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2Code3
MedUHIP: Towards Human-In-the-Loop Medical Segmentation0
Enhanced Knee Kinematics: Leveraging Deep Learning and Morphing Algorithms for 3D Implant Modeling0
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor SegmentationCode0
Amodal Segmentation for Laparoscopic Surgery Video Instruments0
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation ModelCode0
UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor SegmentationCode0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Medical SAM 2: Segment medical images as video via Segment Anything Model 2Code4
Segment anything model 2: an application to 2D and 3D medical imagesCode2
SAM 2: Segment Anything in Images and VideosCode12
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function0
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified