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Segmentation

Papers

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Showing 2101–2150 of 13072 papers

TitleStatusHype
CLUSTSEG: Clustering for Universal SegmentationCode1
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles SegmentationCode1
TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human AnnotationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Clustering based Point Cloud Representation Learning for 3D AnalysisCode1
Improving Sketch Colorization using Adversarial Segmentation ConsistencyCode1
Improving Semantic Segmentation via Decoupled Body and Edge SupervisionCode1
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured MeshesCode1
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised AdaptationCode1
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel DescriptorsCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
Clustering Plotted Data by Image SegmentationCode1
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence ScoringCode1
Incremental Few-Shot Instance SegmentationCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentationCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 ChallengesCode1
CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound ImagesCode1
Clockwork Convnets for Video Semantic SegmentationCode1
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological ImagesCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysisCode1
Annotation-efficient learning for OCT segmentationCode1
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
ABANet: Attention boundary-aware network for image segmentationCode1
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic MemoryCode1
Improving Across-Dataset Brain Tissue Segmentation Using TransformerCode1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object SegmentationCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Implicit Motion Handling for Video Camouflaged Object DetectionCode1
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass SegmentationCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
Incremental Learning in Semantic Segmentation from Image LabelsCode1
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel ImagesCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
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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