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Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11736790_8openalex-snapshot
The 2005 PASCAL Visual Object Classes Challenge
inferredcites →https://doi.org/10.1007/978-3-319-10605-2_38openalex-snapshot
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
inferredcites →https://doi.org/10.1007/s11263-008-0204-yopenalex-snapshot
Twin Gaussian Processes for Structured Prediction
inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot
The Pascal Visual Object Classes Challenge: A Retrospective
inferredcites →https://doi.org/10.1037//0033-295x.94.2.115openalex-snapshot
Recognition-by-components: A theory of human image understanding.
inferredcites →https://doi.org/10.1109/cvpr.2009.5206594openalex-snapshot
Learning to detect unseen object classes by between-class attribute transfer
inferredcites →https://doi.org/10.1109/cvpr.2009.5206772openalex-snapshot
Describing objects by their attributes
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2010.5540121openalex-snapshot
What helps where – and why? Semantic relatedness for knowledge transfer
inferredcites →https://doi.org/10.1109/cvpr.2011.5995353openalex-snapshot
Recognizing human actions by attributes
inferredcites →https://doi.org/10.1109/cvpr.2011.5995627openalex-snapshot
Evaluating knowledge transfer and zero-shot learning in a large-scale setting
inferredcites →https://doi.org/10.1109/cvpr.2013.105openalex-snapshot
Designing Category-Level Attributes for Discriminative Visual Recognition
inferredcites →https://doi.org/10.1109/cvpr.2013.107openalex-snapshot
Object-Centric Anomaly Detection by Attribute-Based Reasoning
inferredcites →https://doi.org/10.1109/cvpr.2013.397openalex-snapshot
It's Not Polite to Point: Describing People with Uncertain Attributes
inferredcites →https://doi.org/10.1109/cvpr.2014.313openalex-snapshot
COSTA: Co-Occurrence Statistics for Zero-Shot Classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298730openalex-snapshot
On the relationship between visual attributes and convolutional networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298911openalex-snapshot
Evaluation of output embeddings for fine-grained image classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7299169openalex-snapshot
Deep domain adaptation for describing people based on fine-grained clothing attributes
inferredcites →https://doi.org/10.1109/cvprw.2009.5206594openalex-snapshot
Learning to detect unseen object classes by between-class attribute transfer
inferredcites →https://doi.org/10.1109/iccv.2013.321openalex-snapshot
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
inferredcites →https://doi.org/10.1109/iccv.2015.483openalex-snapshot
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions
inferredcites →https://doi.org/10.1109/tpami.2013.140openalex-snapshot
Attribute-Based Classification for Zero-Shot Visual Object Categorization
inferredcites →https://doi.org/10.1109/wacv.2015.116openalex-snapshot
How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.48550/arxiv.1301.3666openalex-snapshot
Zero-Shot Learning Through Cross-Modal Transfer
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1312.5650openalex-snapshot
Zero-Shot Learning by Convex Combination of Semantic Embeddings
inferredcites →https://doi.org/10.5244/c.19.82openalex-snapshot
Single-example learning of novel classes using representation by similarity
inferredcites →https://doi.org/10.57702/i9oeewf6openalex-snapshot
Caltech-UCSD Birds-200-2011 Dataset
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
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Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
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Any-Shot Object Detection
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Background Learnable Cascade for Zero-Shot Object Detection
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Human Motion Recognition Using Zero-Shot Learning
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ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
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Employing Hierarchical Clustering and Reinforcement Learning for Attribute-Based Zero-Shot Classification
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A Review of Zero-Shot Image Classification
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Multimodal embodied attribute learning by robots for object-centric action policies
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Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval
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Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts
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Intelligent animal detection system using sparse multi discriminative-neural network (SMD-NN) to mitigate animal-vehicle collision
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Manifold regularized cross-modal embedding for zero-shot learning
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Combining ontology and reinforcement learning for zero-shot classification
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Joint Visual and Semantic Optimization for zero-shot learning
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Zero-shot learning via a specific rank-controlled semantic autoencoder
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Fusion by synthesizing: A multi-view deep neural network for zero-shot recognition
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Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
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A Fast Hybrid Model for Large–Scale Zero–Shot Image Recognition Based on Knowledge Graphs
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Transductive Zero-Shot Learning with Reliability-Based Pseudo-Label Integration
inferred← citeshttps://doi.org/10.1109/crv52889.2021.00025openalex-snapshot
SGNet: A Super-class Guided Network for Image Classification and Object Detection
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Semantically Consistent Regularization for Zero-Shot Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2017.543openalex-snapshot
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00379openalex-snapshot
Zero-Shot Sketch-Image Hashing
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00523openalex-snapshot
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01282openalex-snapshot
Learning to Predict Visual Attributes in the Wild
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00910openalex-snapshot
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01129openalex-snapshot
Decoupling Zero-Shot Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01652openalex-snapshot
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation
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Open-vocabulary Attribute Detection
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Teacher-Aware Active Robot Learning
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Visuo-Tactile Recognition of Daily-Life Objects Never Seen or Touched Before
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Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning
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Attribute Attention for Semantic Disambiguation in Zero-Shot Learning
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Field-Guide-Inspired Zero-Shot Learning
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Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis
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Zero-Shot Learning Posed as a Missing Data Problem
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Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis
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Learning Visually Consistent Label Embeddings for Zero-Shot Learning
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Autoencoder based novelty detection for generalized zero shot learning
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Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection
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“Zero-Shot” Point Cloud Upsampling
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Deep Representation of Hierarchical Semantic Attributes for Zero-shot Learning
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Towards Robust Pattern Recognition: A Review
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Multidomain Features Fusion for Zero-Shot Learning
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Zero-Shot Learning With Transferred Samples
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Zero-Shot Learning via Attribute Regression and Class Prototype Rectification
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A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning
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Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement
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Generalized Zero-Shot Cross-Modal Retrieval
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Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning
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Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition
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Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection
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Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
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Learning discriminative supplementary features to attributes for novel-category classification
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ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
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Dissimilarity Representation Learning for Generalized Zero-Shot Recognition
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Feature Learning-Based Generative Adversarial Network Data Augmentation for Class-Based Few-Shot Learning
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Improved Visual-Semantic Alignment for Zero-Shot Object Detection
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Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval
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A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding
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Zero-Shot Activity Recognition with Verb Attribute Induction
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Speech Enhancement with Zero-Shot Model Selection
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Synthesizing Samples for Zero-shot Learning
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Zero-Shot Image Classification Algorithm Based on SIF Fusion Semantic Tags
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Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
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Curvature-based sparse rule base generation for fuzzy rule interpolation
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Exploiting Semantic-Visual Symmetry for Goal-Oriented Zero-Shot Recognition
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Learning Joint Feature Adaptation for Zero-Shot Recognition
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Semantically Consistent Regularization for Zero-Shot Recognition
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Zero-Shot Learning via Category-Specific Visual-Semantic Mapping
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Global Semantic Consistency for Zero-Shot Learning
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Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
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Polarity Loss for Zero-shot Object Detection
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Zero-shot Learning for Audio-based Music Classification and Tagging
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SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning
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Zero-Shot Recognition through Image-Guided Semantic Classification
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Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
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End-to-end Generative Zero-shot Learning via Few-shot Learning
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Large-Scale Attribute-Object Compositions
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Solving Association Problems with Convex Co-embedding
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