SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2726–2750 of 13072 papers

TitleStatusHype
ParaTransCNN: Parallelized TransCNN Encoder for Medical Image SegmentationCode1
Vanishing-Point-Guided Video Semantic Segmentation of Driving ScenesCode0
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans—0
Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation—0
Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology—0
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based ConstraintsCode0
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction—0
On generalisability of segment anything model for nuclear instance segmentation in histology images—0
UrbanGenAI: Reconstructing Urban Landscapes using Panoptic Segmentation and Diffusion Models—0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds—0
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention—0
TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images—0
Grounded SAM: Assembling Open-World Models for Diverse Visual TasksCode9
pix2gestalt: Amodal Segmentation by Synthesizing WholesCode3
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classificationCode0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter—0
Tissue Cross-Section and Pen Marking Segmentation in Whole Slide ImagesCode1
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks—0
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation—0
SEDNet: Shallow Encoder-Decoder Network for Brain Tumor SegmentationCode0
Tyche: Stochastic In-Context Learning for Medical Image SegmentationCode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
An Automated Real-Time Approach for Image Processing and Segmentation of Fluoroscopic Images and Videos Using a Single Deep Learning Network—0
Show:102550
← PrevPage 110 of 523Next →
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