On the public citation graph

Attribute-Guided Feature Learning for Few-Shot Image Recognition

https://doi.org/10.1109/tmm.2020.2993952

0 signed · 116 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-15555-0_12openalex-snapshot

A Discriminative Latent Model of Object Classes and Attributes

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2010.5539970openalex-snapshot

SUN database: Large-scale scene recognition from abbey to zoo

inferredcites →https://doi.org/10.1109/cvpr.2012.6248026openalex-snapshot

WhittleSearch: Image search with relative attribute feedback

inferredcites →https://doi.org/10.1109/cvpr.2014.211openalex-snapshot

Decorrelating Semantic Visual Attributes by Resisting the Urge to Share

inferredcites →https://doi.org/10.1109/cvpr.2016.15openalex-snapshot

Latent Embeddings for Zero-Shot Classification

inferredcites →https://doi.org/10.1109/cvpr.2016.503openalex-snapshot

Image Captioning with Semantic Attention

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.220openalex-snapshot

Semantically Consistent Regularization for Zero-Shot Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.355openalex-snapshot

AGA: Attribute-Guided Augmentation

inferredcites →https://doi.org/10.1109/cvpr.2018.00429openalex-snapshot

Memory Matching Networks for One-Shot Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2018.00755openalex-snapshot

Few-Shot Image Recognition by Predicting Parameters from Activations

inferredcites →https://doi.org/10.1109/cvpr.2018.00779openalex-snapshot

Discriminative Learning of Latent Features for Zero-Shot Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00641openalex-snapshot

Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification

inferredcites →https://doi.org/10.1109/cvpr.2019.01176openalex-snapshot

Learning to Learn Image Classifiers With Visual Analogy

inferredcites →https://doi.org/10.1109/cvpr.2019.01199openalex-snapshot

Task Agnostic Meta-Learning for Few-Shot Learning

inferredcites →https://doi.org/10.1109/iccv.2015.144openalex-snapshot

Multi-scale Recognition with DAG-CNNs

inferredcites →https://doi.org/10.1109/iccv.2015.288openalex-snapshot

A Unified Multiplicative Framework for Attribute Learning

inferredcites →https://doi.org/10.1109/iccv.2017.453openalex-snapshot

Learning Discriminative Latent Attributes for Zero-Shot Classification

inferredcites →https://doi.org/10.1109/iccv.2017.524openalex-snapshot

Boosting Image Captioning with Attributes

inferredcites →https://doi.org/10.1109/ijcnn.1992.287172openalex-snapshot

Meta-neural networks that learn by learning

inferredcites →https://doi.org/10.1109/tmm.2014.2375793openalex-snapshot

Cross-Domain Feature Learning in Multimedia

inferredcites →https://doi.org/10.1109/tmm.2017.2724843openalex-snapshot

General Knowledge Embedded Image Representation Learning

inferredcites →https://doi.org/10.1109/tmm.2018.2887021openalex-snapshot

Unsupervised Universal Attribute Modeling for Action Recognition

inferredcites →https://doi.org/10.1109/tmm.2018.2888822openalex-snapshot

High-Quality Image Captioning With Fine-Grained and Semantic-Guided Visual Attention

inferredcites →https://doi.org/10.1109/tpami.2006.79openalex-snapshot

One-shot learning of object categories

inferredcites →https://doi.org/10.1109/tpami.2013.140openalex-snapshot

Attribute-Based Classification for Zero-Shot Visual Object Categorization

inferredcites →https://doi.org/10.1126/science.aab3050openalex-snapshot

Human-level concept learning through probabilistic program induction

inferredcites →https://doi.org/10.1145/2393347.2396335openalex-snapshot

Attribute-assisted reranking for web image retrieval

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3391624openalex-snapshot

Few-shot Food Recognition via Multi-view Representation Learning

inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

inferredcites →https://doi.org/10.1609/aaai.v32i1.11671openalex-snapshot

FiLM: Visual Reasoning with a General Conditioning Layer

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1606.05233openalex-snapshot

Learning feed-forward one-shot learners

inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-snapshot

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-snapshot

Prototypical Networks for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1707.01629openalex-snapshot

Dual Path Networks

inferredcites →https://doi.org/10.48550/arxiv.1707.03141openalex-snapshot

A Simple Neural Attentive Meta-Learner

inferredcites →https://doi.org/10.48550/arxiv.1707.09835openalex-snapshot

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1712.09926openalex-snapshot

Rapid Adaptation with Conditionally Shifted Neurons

inferredcites →https://doi.org/10.48550/arxiv.1802.03596openalex-snapshot

Deep Meta-Learning: Learning to Learn in the Concept Space

inferredcites →https://doi.org/10.57702/4tezifx0openalex-snapshot

Caltech-UCSD-Birds-200-2011

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4592266openalex-extracted

Deep Learning-Based Feature Recognition for Enhancing Mobile Robot Vision

inferred← citeshttps://doi.org/10.1007/978-3-031-18916-6_33openalex-snapshot

Few-Shot Object Detection Based on Latent Knowledge Representation

inferred← citeshttps://doi.org/10.1007/978-981-96-9863-9_40openalex-snapshot

Exploratory Study on Enhancing Generalization Performance of Transformer Architectures in MedicalImage Segmentation: A Survey

inferred← citeshttps://doi.org/10.1007/s00530-025-02045-4openalex-snapshot

Calibrating feature representations for few-shot image recognition via vicinal mixup

inferred← citeshttps://doi.org/10.1007/s11517-024-03101-3openalex-snapshot

Ensemble learning for retinal disease recognition under limited resources

inferred← citeshttps://doi.org/10.1007/s13735-023-00286-5openalex-snapshot

CoCoOpter: Pre-train, prompt, and fine-tune the vision-language model for few-shot image classification

inferred← citeshttps://doi.org/10.1007/s42452-025-07225-5openalex-snapshot

A review on NLP zero-shot and few-shot learning: methods and applications

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107915openalex-snapshot

Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification

inferred← citeshttps://doi.org/10.1016/j.entcom.2025.100961openalex-snapshot

Notion meta-learner: A technique for few-shot learning in music genre recognition

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114984openalex-snapshot

One-shot learning for acoustic diagnosis of industrial machines

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124015openalex-snapshot

Manifold regularized deep canonical variate analysis with interpretable attribute guidance for three-phase flow process monitoring

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126174openalex-snapshot

Learning complementary visual information for few-shot food recognition by Regional Erasure and Reactivation

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110358openalex-snapshot

Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.08.028openalex-snapshot

Boosting Few-shot visual recognition via saliency-guided complementary attention

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.11.073openalex-snapshot

Invariant and consistent: Unsupervised representation learning for few-shot visual recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130774openalex-snapshot

A review of few-shot image classification: Approaches, datasets and research trends

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108515openalex-snapshot

Alleviating noise memorization for adversarially robust few-shot learning

inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109381openalex-snapshot

Deep metric learning for few-shot image classification: A Review of recent developments

inferred← citeshttps://doi.org/10.1093/bib/bbad404openalex-snapshot

Chemical structure-aware molecular image representation learning

inferred← citeshttps://doi.org/10.1093/bib/bbae394openalex-snapshot

Attribute-guided prototype network for few-shot molecular property prediction

inferred← citeshttps://doi.org/10.1109/crv60082.2023.00048openalex-snapshot

Few-Shot Personality-Specific Image Captioning via Meta-Learning

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02252openalex-snapshot

OvarNet: Towards Open-Vocabulary Object Attribute Recognition

inferred← citeshttps://doi.org/10.1109/icct59356.2023.10419695openalex-snapshot

A Few-Shot Modulation Recognition Algorithm Based on Enhanced Constellation Diagram

inferred← citeshttps://doi.org/10.1109/icra57147.2024.10611332openalex-snapshot

Visual Noun Modifiers: The Problem of Binding Visual and Linguistic Cues*

inferred← citeshttps://doi.org/10.1109/jsen.2021.3123807openalex-snapshot

Cross-Category Mechanical Fault Diagnosis Based on Deep Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/jstars.2025.3530442openalex-snapshot

Visual-Semantic Cooperative Learning for Few-Shot SAR Target Classification

inferred← citeshttps://doi.org/10.1109/tce.2024.3476341openalex-snapshot

FoodFlavorNet: A Multimodal Deep Learning Model for Food Flavor Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3076523openalex-snapshot

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3132912openalex-snapshot

Global-Local Interplay in Semantic Alignment for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3175923openalex-snapshot

Multidimensional Prototype Refactor Enhanced Network for Few-Shot Action Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3227574openalex-snapshot

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3248798openalex-snapshot

Learning to Class-Adaptively Manipulate Embeddings for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tip.2022.3143692openalex-snapshot

Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tip.2022.3226410openalex-snapshot

SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition

inferred← citeshttps://doi.org/10.1109/tits.2021.3127632openalex-snapshot

Semantic-Aligned Attention With Refining Feature Embedding for Few-Shot Image Classification

inferred← citeshttps://doi.org/10.1109/tmm.2021.3077729openalex-snapshot

Fast Adaptive Meta-Learning for Few-Shot Image Generation

inferred← citeshttps://doi.org/10.1109/tmm.2021.3089017openalex-snapshot

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning

inferred← citeshttps://doi.org/10.1109/tmm.2021.3123813openalex-snapshot

Mixer-Based Semantic Spread for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tmm.2022.3141886openalex-snapshot

Graph Complemented Latent Representation for Few-Shot Image Classification

inferred← citeshttps://doi.org/10.1109/tmm.2022.3141947openalex-snapshot

2021 Index IEEE Transactions on Multimedia Vol. 23

inferred← citeshttps://doi.org/10.1109/tmm.2022.3142955openalex-snapshot

Multi-Level Second-Order Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tmm.2022.3156938openalex-snapshot

Learning Dual-Routing Capsule Graph Neural Network for Few-Shot Video Classification

inferred← citeshttps://doi.org/10.1109/tmm.2022.3168146openalex-snapshot

RSNet: Relation Separation Network for Few-Shot Similar Class Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2022.3174405openalex-snapshot

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/tmm.2022.3198880openalex-snapshot

Learning Relative Feature Displacement for Few-Shot Open-Set Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2022.3215896openalex-snapshot

Rethinking and Improving Few-Shot Segmentation From a Contour-Aware Perspective

inferred← citeshttps://doi.org/10.1109/tmm.2022.3233442openalex-snapshot

Graph Neural Networks With Triple Attention for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tmm.2023.3234368openalex-snapshot

Temporal Speciation Network for Few-Shot Object Detection

inferred← citeshttps://doi.org/10.1109/tmm.2023.3282492openalex-snapshot

Variational Neuron Shifting for Few-Shot Image Classification Across Domains

inferred← citeshttps://doi.org/10.1109/tmm.2023.3291588openalex-snapshot

Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model

inferred← citeshttps://doi.org/10.1109/tmm.2024.3366404openalex-snapshot

Runge-Kutta Guided Feature Augmentation for Few-Sample Learning

inferred← citeshttps://doi.org/10.1109/tmm.2024.3379896openalex-snapshot

Fine-Tuning for Few-Shot Image Classification by Multimodal Prototype Regularization

inferred← citeshttps://doi.org/10.1109/tmm.2024.3521792openalex-snapshot

Part-Level Relationship Learning for Fine-Grained Few-Shot Image Classification

inferred← citeshttps://doi.org/10.1109/tmm.2024.3521802openalex-snapshot

Symmetric Hallucination With Knowledge Transfer for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/tmm.2025.3543038openalex-snapshot

CMoA: Contrastive Mixture of Adapters for Generalized Few-Shot Continual Learning

inferred← citeshttps://doi.org/10.1109/tmm.2025.3557677openalex-snapshot

Leveraging Concise Concepts With Probabilistic Modeling for Interpretable Visual Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2025.3599083openalex-snapshot

Bilevel Direction Preserving for Few-Shot Open-Set Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2025.3639903openalex-snapshot

CrossHypergraph: Consistent High-Order Semantic Network for Few-Shot Image Classification

inferred← citeshttps://doi.org/10.1109/tmm.2026.3651134openalex-snapshot

Boosting Universal Adversarial Attack on Deep Neural Networks

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3561503openalex-snapshot

Few-Shot Learning Based on Multimodal Information Processing

inferred← citeshttps://doi.org/10.1109/tpami.2022.3153611openalex-snapshot

Dataset Bias in Few-Shot Image Recognition

inferred← citeshttps://doi.org/10.1121/10.0037080openalex-snapshot

Cosine similarity-based few-shot bioacoustic event detection with automatic frequency range identification in Mel-spectrograms

inferred← citeshttps://doi.org/10.1145/3503161.3548301openalex-snapshot

Attribute-guided Dynamic Routing Graph Network for Transductive Few-shot Learning

inferred← citeshttps://doi.org/10.1155/2021/6633906openalex-snapshot

Applying a Probabilistic Network Method to Solve Business‐Related Few‐Shot Classification Problems

inferred← citeshttps://doi.org/10.23919/apsipaasc55919.2022.9980086openalex-snapshot

Few-Shot Classification With Feature Reconstruction Bias

inferred← citeshttps://doi.org/10.3390/buildings15111834openalex-snapshot

Irregular Openings Identification at Construction Sites Based on Few-Shot Learning

inferred← citeshttps://doi.org/10.3934/mbe.2023746openalex-snapshot

AGMG-Net: Leveraging multiscale and fine-grained features for improved cargo recognition

inferred← citeshttps://doi.org/10.4108/ew.3450openalex-snapshot

Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

inferred← citeshttps://doi.org/10.48550/arxiv.2008.07960openalex-snapshot

Dataset Bias in Few-shot Image Recognition

inferred← citeshttps://doi.org/10.70675/a19cbe0dz6c94z4ff6zb70ez024fd8546d17openalex-snapshot

Visual and Textual Common Semantic Spaces for the Analysis of Multimodal Content

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.