Reference health
Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-Label Image Recognition
6/6 checkable references clean · checked 2026-08-29
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
resolves10.1016/j.patcog.2022.109203
Feature learning network with transformer for multi-label image classification
resolves10.1016/j.patcog.2021.108084
Deep robust multilevel semantic hashing for multi-label cross-modal retrieval
resolves10.1109/TIP.2022.3148867
SST: Spatial and Semantic Transformers for Multi-Label Image Recognition
resolves10.1109/TMM.2020.3003779
Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition
resolves10.1016/j.patcog.2018.03.003
Deep super-class learning for long-tail distributed image classification
The 34 references without a DOI — listed, not checked
no DOI — not checkedUnsupervised person re-identification with multi-label learning guided self-paced clustering
no DOI — not checkedMulti-label image recognition with graph convolutional networks
no DOI — not checkedLearning graph convolutional networks for multi-label recognition and applications
no DOI — not checkedBBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition
no DOI — not checkedDelving deep into spatial pooling for squeeze-and-excitation networks
no DOI — not checkedref11
no DOI — not checkedClass-balanced loss based on effective number of samples
no DOI — not checkedLearning deep representation for imbalanced classification
no DOI — not checkedDistribution-balanced loss for multi-label classification in long-tailed datasets
no DOI — not checkedOvercoming classifier imbalance for long-tail object detection with balanced group softmax
no DOI — not checkedLong-tailed multi-label visual recognition by collaborative training on uniform and re-balanced samplings
no DOI — not checkedref17
no DOI — not checkedVisualizing data using t-SNE
no DOI — not checkedContextual debiasing for visual recognition with causal mechanisms
no DOI — not checkedGeneral multi-label image classification with transformers
no DOI — not checkedOrder-Free RNN with visual attention for multi-label classification
no DOI — not checkedLearning spatial regularization with image-level supervisions for multi-label image classification
no DOI — not checkedMulti-label image recognition by recurrently discovering attentional regions
no DOI — not checkedLearning semantic-specific graph representation for multi-label image recognition
no DOI — not checkedAttention-driven dynamic graph convolutional network for multi-label image recognition
no DOI — not checkedTransformer-based dual relation graph for multi-label image recognition
no DOI — not checkedref27
no DOI — not checkedLearning to reweight examples for robust deep learning
no DOI — not checkedLearning a mixture of granularityspecific experts for fine-grained categorization
no DOI — not checkedSemantic diversity learning for zero-shot multi-label classification
no DOI — not checkedref31
no DOI — not checkedSemi-supervised classification with graph convolutional networks
no DOI — not checkedWeakly supervised learning of deep convnets for image classification, pointwise localization and segmentation
no DOI — not checkedFocal loss for dense object detection
no DOI — not checkedLearning imbalanced datasets with label-distribution-aware margin loss
no DOI — not checkedResidual attention: A simple but effective method for multi-label recognition
no DOI — not checkedref38
no DOI — not checkedDeep residual learning for image recognition
no DOI — not checkedref40
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