SOTAVerified

Segmentation

Papers

Showing 501525 of 13072 papers

TitleStatusHype
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
Improving Semantic Segmentation via Video Propagation and Label RelaxationCode2
Cell Detection with Star-convex PolygonsCode2
Context Encoding for Semantic SegmentationCode2
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networksCode2
Fully Convolutional Instance-aware Semantic SegmentationCode2
Seg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image CollectionsCode1
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation ModelsCode1
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance FieldsCode1
Open-Vocabulary Camouflaged Object Segmentation with Cascaded Vision Language ModelsCode1
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
The Four Color Theorem for Cell Instance SegmentationCode1
MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysisCode1
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point CloudsCode1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image SegmentationCode1
OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language ModelCode1
Zero-Shot Tree Detection and Segmentation from Aerial Forest ImageryCode1
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic SegmentationCode1
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image SegmentationCode1
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic SegmentationCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual ReasoningCode1
SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance LearningCode1
UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark DatasetCode1
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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