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Segmentation

Papers

Showing 14761500 of 13072 papers

TitleStatusHype
How Distance Transform Maps Boost Segmentation CNNs: An Empirical StudyCode1
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
How to Benchmark Vision Foundation Models for Semantic Segmentation?Code1
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 ChallengeCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
HPNet: Deep Primitive Segmentation Using Hybrid RepresentationsCode1
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image SegmentationCode1
Audio-Visual Instance SegmentationCode1
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion SegmentationCode1
Extrinsic Camera Calibration with Semantic SegmentationCode1
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationCode1
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic SegmentationCode1
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-IdentificationCode1
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered ScenesCode1
Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and ChineseCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV InspectionsCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
BPKD: Boundary Privileged Knowledge Distillation For Semantic SegmentationCode1
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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