Reference health
R2-Trans: Fine-Grained Visual Categorization with Redundancy Reduction
19/19 checkable references clean · checked 2026-08-03
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.
31 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 19 checked references that resolve
resolves10.1109/TMM.2020.2993960
Fine-Grained Visual Categorization by Localizing Object Parts With Single Image
resolves10.1109/TMM.2019.2954747
Bidirectional Attention-Recognition Model for Fine-Grained Object Classification
resolves10.1109/TMM.2019.2939747
Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network
resolves10.1109/TMM.2017.2648498
Diversified Visual Attention Networks for Fine-Grained Object Classification
resolves10.1109/LSP.2021.3114622
Complemental Attention Multi-Feature Fusion Network for Fine-Grained Classification
resolves10.1145/3474085.3475561
RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition
resolves10.1109/ICASSP43922.2022.9747591
A free lunch from ViT: adaptive attention multi-scale fusion Transformer for fine-grained visual recognition
resolves10.1109/TPAMI.2017.2723400
Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition
resolves10.1609/aaai.v35i13.17358
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach
resolves10.1109/TPAMI.2019.2909031
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
resolves10.1109/ICASSP39728.2021.9414151
Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional
resolves10.1109/TIP.2020.2973812
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
resolves10.1109/TIP.2020.2977457
Multi-Objective Matrix Normalization for Fine-Grained Visual Recognition
resolves10.1109/LSP.2020.3020227
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
resolves10.1609/aaai.v34i07.7016
Learning Attentive Pairwise Interaction for Fine-Grained Classification
resolves10.1109/TIP.2021.3126490
Part-Guided Relational Transformers for Fine-Grained Visual Recognition
The 31 references without a DOI — listed, not checked
no DOI — not checkedFine-grained image analysis with deep learning: A survey
no DOI — not checkedPicking neural activations for fine-grained recognition
no DOI — not checkedPart-based r-cnns for finegrained category detection
no DOI — not checkedref8
no DOI — not checkedref9
no DOI — not checkedref10
no DOI — not checkedSwin transformer: Hierarchical vision transformer using shifted windows
no DOI — not checkedMst: Masked self-supervised transformer for visual representation
no DOI — not checkedref15
no DOI — not checkedThe information bottleneck method
no DOI — not checkedLearning to navigate for fine-grained classification
no DOI — not checkedref21
no DOI — not checkedref22
no DOI — not checkedCross-x learning for fine-grained visual categorization
no DOI — not checkedref25
no DOI — not checkedEmergence of invariance and disentanglement in deep representations
no DOI — not checkedInformation-bottleneck approach to salient region discovery
no DOI — not checkedref29
no DOI — not checkedref31
no DOI — not checkedSelective sparse sampling for finegrained image recognition
no DOI — not checkedDeep variational information bottleneck
no DOI — not checkedref35
no DOI — not checkedMutual information neural estimation, in: International conference on machine learning
no DOI — not checkedInvariance principle meets information bottleneck for out-of-distribution generalization
no DOI — not checkedOn the information bottleneck theory of deep learning
no DOI — not checkedref40
no DOI — not checkedNovel dataset for fine-grained image categorization: Stanford dogs
no DOI — not checkedref42
no DOI — not checkedPenalizing the hard example but not too much: A strong baseline for fine-grained visual classification
no DOI — not checkedFrom the whole to detail: Progressively sampling discriminative parts for fine-grained recognition
no DOI — not checkedDual cross-attention learning for fine-grained visual categorization and object re-identification
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