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Segmentation

Papers

Showing 276300 of 13072 papers

TitleStatusHype
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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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