SOTAVerified

Segmentation

Papers

Showing 301350 of 13072 papers

TitleStatusHype
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
3D Face Reconstruction with the Geometric Guidance of Facial Part SegmentationCode2
DetailCLIP: Detail-Oriented CLIP for Fine-Grained TasksCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
FOCUS: Towards Universal Foreground SegmentationCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
Fully Convolutional Instance-aware Semantic SegmentationCode2
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point CloudsCode2
Generative Semantic SegmentationCode2
Global Context Vision TransformersCode2
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
Delivering Arbitrary-Modal Semantic SegmentationCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Deep Hierarchical Semantic SegmentationCode2
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationCode2
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical ImagesCode2
HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal ModelCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationCode2
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil InfrastructureCode2
HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual PerceiverCode2
Improving Semantic Segmentation via Video Propagation and Label RelaxationCode2
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
DeepGCNs: Making GCNs Go as Deep as CNNsCode2
A Pilot Study for Chinese SQL Semantic ParsingCode2
Interactive4D: Interactive 4D LiDAR SegmentationCode2
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite ImageryCode2
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union LearningCode2
Label Efficient Visual Abstractions for Autonomous DrivingCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
LaserMix for Semi-Supervised LiDAR Semantic SegmentationCode2
Learning-Based Defect Recognitions for Autonomous UAV InspectionsCode2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
ASAM: Boosting Segment Anything Model with Adversarial TuningCode2
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body ImagingCode2
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosCode2
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksCode2
Show:102550
← PrevPage 7 of 262Next →

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