SOTAVerified

Segmentation

Papers

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Showing 7576–7600 of 13072 papers

TitleStatusHype
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images—0
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography—0
Technical Report on Subspace Pyramid Fusion Network for Semantic SegmentationCode0
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction—0
Revisiting Near/Remote Sensing with Geospatial Attention—0
Adversarially robust segmentation models learn perceptually-aligned gradients—0
Exemplar Learning for Medical Image Segmentation—0
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition—0
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER—0
Ship Segmentation and Georeferencing from Static Oblique View Images—0
FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road SceneCode0
ReSTR: Convolution-free Referring Image Segmentation Using Transformers—0
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector—0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors—0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training—0
Self-Supervised Image Representation Learning with Geometric Set Consistency—0
Image Segmentation with Adaptive Spatial Priors from Joint Registration—0
Face segmentation: A comparison between visible and thermal images—0
Category Guided Attention Network for Brain Tumor Segmentation in MRICode0
Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions—0
DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation—0
Iterative, Deep Synthetic Aperture Sonar Image Segmentation—0
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation—0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation—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