SOTAVerified

Segmentation

Papers

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Showing 11201–11225 of 13072 papers

TitleStatusHype
Reasoning with trees: interpreting CNNs using hierarchiesCode0
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution SegmentationCode0
Video Object Segmentation with Re-identificationCode0
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image SegmentationCode0
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric AnnotationsCode0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation NetworkCode0
Top-Down Beats Bottom-Up in 3D Instance SegmentationCode0
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial LearningCode0
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRICode0
Simple is what you need for efficient and accurate medical image segmentationCode0
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor TestimoniesCode0
Scale-constrained Unsupervised Evaluation Method for Multi-scale Image SegmentationCode0
Universal Semi-Supervised Semantic SegmentationCode0
PixelNet: Representation of the pixels, by the pixels, and for the pixelsCode0
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass SegmentationCode0
Universal Word Segmentation: Implementation and InterpretationCode0
Scale-Aware Alignment of Hierarchical Image SegmentationCode0
Scalable Certified Segmentation via Randomized SmoothingCode0
Similarity Based Auxiliary Classifier for Named Entity RecognitionCode0
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising AutoencodersCode0
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph SegmentationCode0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
Sim2Real in endoscopy segmentation with a novel structure aware image translationCode0
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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