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Segmentation

Papers

Showing 251300 of 13072 papers

TitleStatusHype
Pixel-Wise Recognition for Holistic Surgical Scene UnderstandingCode2
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease SegmentationCode2
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image SegmentationCode2
Generative Active Learning for Long-tailed Instance SegmentationCode2
GraCo: Granularity-Controllable Interactive SegmentationCode2
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor SynthesisCode2
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
FOCUS: Towards Universal Foreground SegmentationCode2
Focal Modulation NetworksCode2
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-trainCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point CloudsCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
Gradient-Driven 3D Segmentation and Affordance Transfer in Gaussian Splatting Using 2D MasksCode2
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRICode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action SegmentationCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
3D Face Reconstruction with the Geometric Guidance of Facial Part SegmentationCode2
FastInst: A Simple Query-Based Model for Real-Time Instance SegmentationCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
A large annotated medical image dataset for the development and evaluation of segmentation algorithmsCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT imagesCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure SegmentationCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
Segment anything model 2: an application to 2D and 3D medical imagesCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
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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