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Segmentation

Papers

Showing 19511975 of 13072 papers

TitleStatusHype
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPWCode1
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image SegmentationCode1
Feature Pyramid Network for Multi-Class Land SegmentationCode1
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
CGA-Net: Category Guided Aggregation for Point Cloud Semantic SegmentationCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
Path Aggregation Network for Instance SegmentationCode1
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time SegmentationCode1
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language ModelCode1
Federated Incremental Semantic SegmentationCode1
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic SegmentationCode1
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive FusionCode1
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
Federated nnU-Net for Privacy-Preserving Medical Image SegmentationCode1
ClaSP - Time Series SegmentationCode1
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive SegmentationCode1
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor SegmentationCode1
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesCode1
Per-Clip Video Object SegmentationCode1
Few-shot 3D Point Cloud Semantic SegmentationCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationCode1
Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment AlignmentCode1
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical ImagesCode1
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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