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Segmentation

Papers

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Showing 101–150 of 13072 papers

TitleStatusHype
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence SegmentationCode3
Personalize Segment Anything Model with One ShotCode3
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Segment Anything in 3D with Radiance FieldsCode3
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
A Simple Framework for Open-Vocabulary Segmentation and DetectionCode3
MedSegDiff-V2: Diffusion based Medical Image Segmentation with TransformerCode3
Generalized Decoding for Pixel, Image, and LanguageCode3
OneFormer: One Transformer to Rule Universal Image SegmentationCode3
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
Vision Transformers: From Semantic Segmentation to Dense PredictionCode3
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelCode3
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image SegmentationCode3
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
Nuclei instance segmentation and classification in histopathology images with StarDistCode3
UNETR: Transformers for 3D Medical Image SegmentationCode3
MA-Net: A Multi-Scale Attention Network for Liver and Tumor SegmentationCode3
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement LearningCode2
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation BoosterCode2
Urban1960SatSeg: Unsupervised Semantic Segmentation of Mid-20^th century Urban Landscapes with Satellite ImageriesCode2
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted SegmentationCode2
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot SegmentationCode2
The Missing Point in Vision Transformers for Universal Image SegmentationCode2
Recent Advances in Medical Imaging Segmentation: A SurveyCode2
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-LearningCode2
ReplayCAD: Generative Diffusion Replay for Continual Anomaly DetectionCode2
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
SegEarth-R1: Geospatial Pixel Reasoning via Large Language ModelCode2
SAM2MOT: A Novel Paradigm of Multi-Object Tracking by SegmentationCode2
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite ImageryCode2
Scene-Centric Unsupervised Panoptic SegmentationCode2
Towards Generating Realistic 3D Semantic Training Data for Autonomous DrivingCode2
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian SplittingCode2
MaSS13K: A Matting-level Semantic Segmentation BenchmarkCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian SplattingCode2
HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal ModelCode2
ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving ObjectCode2
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator TrajectoriesCode2
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator TrajectoriesCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation ModelsCode2
Segment Anything for HistopathologyCode2
The Devil is in Temporal Token: High Quality Video Reasoning SegmentationCode2
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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