Reference health
Prototype-Wise Self-Knowledge Distillation for Few-Shot Segmentation
6/6 checkable references clean · checked 2026-09-02
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 6 checked references that resolve
resolves10.1109/TCYB.2020.2992433
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
resolves10.1609/aaai.v34i07.6887
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation
The 36 references without a DOI — listed, not checked
no DOI — not checkedHolistic prototype activation for few-shot segmentation
no DOI — not checkedCrossgnn: Confronting noisy multivariate time series via cross interaction refinement
no DOI — not checkedFew-shot segmentation via divide-and-conquer proxies
no DOI — not checkedAn adaptive infrared image segmentation method based on fusion spcnn
no DOI — not checkedMid-unet: Multi-input directional unet for covid-19 lung infection segmentation from ct images
no DOI — not checkedMr image restoration and segmentation via denoising deep adversarial network for blood vessels accurate diagnosis
no DOI — not checkedref8
no DOI — not checkedAmp: Adaptive masked proxies for few-shot segmentation
no DOI — not checkedPartaware prototype network for few-shot semantic segmentation
no DOI — not checkedCcnet: Criss-cross attention for semantic segmentation
no DOI — not checkedPrior guided feature enrichment network for fewshot segmentation
no DOI — not checkedFew-shot segmentation without metalearning: A good transductive inference is all you need?
no DOI — not checkedSelf-supervision with superpixels: Training few-shot medical image segmentation without annotation
no DOI — not checkedFss-1000: A 1000-class dataset for few-shot segmentation
no DOI — not checkedSemi-supervised semantic segmentation with cross-consistency training
no DOI — not checkedPanet: Few-shot image semantic segmentation with prototype alignment
no DOI — not checkedPrototype mixture models for few-shot semantic segmentation
no DOI — not checkedAdaptive prototype learning and allocation for few-shot segmentation
no DOI — not checkedAdaptive prototype learning and allocation for few-shot segmentation
no DOI — not checkedLearning what not to segment: A new perspective on few-shot segmentation
no DOI — not checkedLearning non-target knowledge for few-shot semantic segmentation
no DOI — not checkedref26
no DOI — not checkedSelf-support few-shot semantic segmentation
no DOI — not checkedDistilling the knowledge in a neural network
no DOI — not checkedref29
no DOI — not checkedref30
no DOI — not checkedref31
no DOI — not checkedLearning lightweight lane detection cnns by self attention distillation
no DOI — not checkedGibeom Park, and Il-Chul Moon. Refine myself by teaching myself: Feature refinement via selfknowledge distillation
no DOI — not checkedRegularizing class-wise predictions via self-knowledge distillation
no DOI — not checkedref35
no DOI — not checkedImagenet classification with deep convolutional neural networks
no DOI — not checkedDeep residual learning for image recognition
no DOI — not checkedOn the importance of single directions for generalization
no DOI — not checkedSimultaneous detection and segmentation
no DOI — not checkedSelf-guided and crossguided learning for few-shot segmentation
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