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Segmentation

Papers

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Showing 251–300 of 13072 papers

TitleStatusHype
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic SegmentationCode2
LLM-Seg: Bridging Image Segmentation and Large Language Model ReasoningCode2
ViM-UNet: Vision Mamba for Biomedical SegmentationCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image SegmentationCode2
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular StructuresCode2
Samba: Semantic Segmentation of Remotely Sensed Images with State Space ModelCode2
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action SegmentationCode2
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse PromptsCode2
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
Generative Medical SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
Better Call SAL: Towards Learning to Segment Anything in LidarCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
PosSAM: Panoptic Open-vocabulary Segment AnythingCode2
Caltech Aerial RGB-Thermal Dataset in the WildCode2
Open-World Semantic Segmentation Including Class SimilarityCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
Rethinking Few-shot 3D Point Cloud Semantic SegmentationCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
PEM: Prototype-based Efficient MaskFormer for Image SegmentationCode2
VRP-SAM: SAM with Visual Reference PromptCode2
SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance SegmentationCode2
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei ImagesCode2
Subobject-level Image TokenizationCode2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level RecognitionCode2
Open-Vocabulary Segmentation with Unpaired Mask-Text SupervisionCode2
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image SegmentationCode2
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian DecompositionCode2
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
Tyche: Stochastic In-Context Learning for Medical Image SegmentationCode2
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRICode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly SegmentationCode2
CloSe: A 3D Clothing Segmentation Dataset and ModelCode2
Pixel-Wise Recognition for Holistic Surgical Scene UnderstandingCode2
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask InpaintingCode2
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box PromptsCode2
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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