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Semi-supervised Vocabulary-Informed Learning

https://doi.org/10.1109/cvpr.2016.576

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_4openalex-snapshot

Large-Scale Object Classification Using Label Relation Graphs

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/10.1007/978-3-642-33765-9_38openalex-snapshot

Attribute Learning for Understanding Unstructured Social Activity

inferredcites →https://doi.org/10.1017/cbo9780511809071openalex-snapshot

Introduction to Information Retrieval

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.2005.117openalex-snapshot

Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement

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.2010.5539949openalex-snapshot

Efficient additive kernels via explicit feature maps

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.2013.105openalex-snapshot

Designing Category-Level Attributes for Discriminative Visual Recognition

inferredcites →https://doi.org/10.1109/cvpr.2013.111openalex-snapshot

Label-Embedding for Attribute-Based Classification

inferredcites →https://doi.org/10.1109/cvpr.2015.7298700openalex-snapshot

Prediction of search targets from fixations in open-world settings

inferredcites →https://doi.org/10.1109/cvpr.2015.7298799openalex-snapshot

Towards Open World Recognition

inferredcites →https://doi.org/10.1109/cvpr.2015.7298879openalex-snapshot

Zero-shot object recognition by semantic manifold distance

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.2016.339openalex-snapshot

Harnessing Object and Scene Semantics for Large-Scale Video Understanding

inferredcites →https://doi.org/10.1109/iccv.2009.5459250openalex-snapshot

Attribute and simile classifiers for face verification

inferredcites →https://doi.org/10.1109/iccv.2011.6126281openalex-snapshot

Relative attributes

inferredcites →https://doi.org/10.1109/tkde.2005.77openalex-snapshot

/spl epsi/-SSVR: a smooth support vector machine for /spl epsi/-insensitive regression

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

One-shot learning of object categories

inferredcites →https://doi.org/10.1109/tpami.2008.128openalex-snapshot

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

inferredcites →https://doi.org/10.1109/tpami.2011.153openalex-snapshot

Efficient Additive Kernels via Explicit Feature Maps

inferredcites →https://doi.org/10.1109/tpami.2012.256openalex-snapshot

Toward Open Set Recognition

inferredcites →https://doi.org/10.1109/tpami.2013.128openalex-snapshot

Learning Multimodal Latent Attributes

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/tpami.2014.2321392openalex-snapshot

Probability Models for Open Set Recognition

inferredcites →https://doi.org/10.1109/tpami.2015.2408354openalex-snapshot

Transductive Multi-View Zero-Shot Learning

inferredcites →https://doi.org/10.1137/110830629openalex-snapshot

Hybrid Deterministic-Stochastic Methods for Data Fitting

inferredcites →https://doi.org/10.1145/1015330.1015332openalex-snapshot

Solving large scale linear prediction problems using stochastic gradient descent algorithms

inferredcites →https://doi.org/10.1145/1666420.1666446openalex-snapshot

Using the forest to see the trees

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

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1184/r1/6476456openalex-snapshot

Zero-Shot Learning with Semantic Output Codes

inferredcites →https://doi.org/10.15607/rss.2014.x.041openalex-snapshot

Open-vocabulary Object Retrieval

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.1310.4546openalex-snapshot

Distributed Representations of Words and Phrases and their Compositionality

inferredcites →https://doi.org/10.48550/arxiv.1312.5650openalex-snapshot

Zero-Shot Learning by Convex Combination of Semantic Embeddings

inferredcites →https://doi.org/10.48550/arxiv.1409.4327openalex-snapshot

Zero Shot Recognition with Unreliable Attributes

inferredcites →https://doi.org/10.48550/arxiv.1410.4176openalex-snapshot

Learning Distributed Word Representations for Natural Logic Reasoning

inferredcites →https://doi.org/10.48550/arxiv.1411.5879openalex-snapshot

A Unified Semantic Embedding: Relating Taxonomies and Attributes

inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot

Return of the Devil in the Details: Delving Deep into Convolutional Nets

inferredcites →https://doi.org/10.5555/944790.944813openalex-snapshot

On the algorithmic implementation of multiclass kernel-based vector machines

inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot

Introduction to information retrieval

What points at this work

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

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Zero-Shot Leaning with Manifold Embedding

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Zero-Shot Learning with Superclasses

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Extreme Reverse Projection Learning for Zero-Shot Recognition

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Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition

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Zero-Shot Visual Emotion Recognition by Exploiting BERT

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Learning to Learn: Model Regression Networks for Easy Small Sample Learning

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Dual autoencoder based zero shot learning in special domain

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Zero-shot leaning and hashing with binary visual similes

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Class-Incremental Generalized Zero-Shot Learning

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Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning

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Visual Structure Constraint for Transductive Zero-Shot Learning in the Wild

inferred← citeshttps://doi.org/10.1007/s11704-019-8249-3openalex-snapshot

Extreme vocabulary learning

inferred← citeshttps://doi.org/10.1007/s42979-021-00648-yopenalex-snapshot

Class Representative Learning for Zero-shot Learning Using Purely Visual Data

inferred← citeshttps://doi.org/10.1016/j.cogsys.2018.12.003openalex-snapshot

Manifold embedding for zero-shot recognition

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Learning the Compositional Domains for Generalized Zero-shot Learning

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Adversarial strategy for transductive zero-shot learning

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Zero-shot learning by mutual information estimation and maximization

inferred← citeshttps://doi.org/10.1016/j.neucom.2018.08.014openalex-snapshot

Semantic softmax loss for zero-shot learning

inferred← citeshttps://doi.org/10.1016/j.neucom.2018.10.069openalex-snapshot

Class-specific synthesized dictionary model for Zero-Shot Learning

inferred← citeshttps://doi.org/10.1016/j.neunet.2021.05.019openalex-snapshot

A semi-supervised zero-shot image classification method based on soft-target

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Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes

inferred← citeshttps://doi.org/10.1016/j.patrec.2021.05.010openalex-snapshot

MetAdapt: Meta-learned task-adaptive architecture for few-shot classification

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Baby steps towards few-shot learning with multiple semantics

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Using Variational Multi-View Learning for Classification of Grocery Items

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Cross-Layer Autoencoder for Zero-Shot Learning

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Multi-Modality Adversarial Auto-Encoder for Zero-Shot Learning

inferred← citeshttps://doi.org/10.1109/cac57257.2022.10055280openalex-snapshot

Weighted Multi-view Zero-shot Learning Prototype Shift Model in Fault Diagnosis

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On Parameter Tuning in Meta-Learning for Computer Vision

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Harnessing Object and Scene Semantics for Large-Scale Video Understanding

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Semantically Consistent Regularization for Zero-Shot Recognition

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Learning a Deep Embedding Model for Zero-Shot Learning

inferred← citeshttps://doi.org/10.1109/cvpr.2017.328openalex-snapshot

Zero-Shot Learning — The Good, the Bad and the Ugly

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Semantic Autoencoder for Zero-Shot Learning

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Infinite Variational Autoencoder for Semi-Supervised Learning

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A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts

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Transductive Unbiased Embedding for Zero-Shot Learning

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Hierarchical Novelty Detection for Visual Object Recognition

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00131openalex-snapshot

Learning to Compare: Relation Network for Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00450openalex-snapshot

Generalized Zero-Shot Learning via Synthesized Examples

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Feature Generating Networks for Zero-Shot Learning

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Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00952openalex-snapshot

Sketch-a-Classifier: Sketch-Based Photo Classifier Generation

inferred← citeshttps://doi.org/10.1109/cvpr.2019.00227openalex-snapshot

Gradient Matching Generative Networks for Zero-Shot Learning

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Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification

inferred← citeshttps://doi.org/10.1109/cvpr.2019.00738openalex-snapshot

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

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F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

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Hyperbolic Visual Embedding Learning for Zero-Shot Recognition

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Open World Compositional Zero-Shot Learning

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A Generative Model for Zero Shot Learning Using Conditional Variational Autoencoders

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A Large-Scale Attribute Dataset for Zero-Shot Learning

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Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition

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Semantic Manifold Alignment in Visual Feature Space for Zero-Shot Learning

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AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning

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Distance Restricted Transformer Encoder for Multi-Label Classification

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Zero-Shot Object Detection for Indoor Robots

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Enhance the prior knowledge in Bayesian learning with semantic similarity for few-shot image classification

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An attribute learning method for zero-shot recognition

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Learning Object Attributes with Category-Free Grounded Language from Deep Featurization

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Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content

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S-Track: An SAM-based Model for Real-Time Surgical Video Tracking under High Dynamic Scenarios

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Towards Effective Deep Embedding for Zero-Shot Learning

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On Learning Semantic Representations for Large-Scale Abstract Sketches

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Zero-Shot Learning via Latent Space Encoding

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A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning

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Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings

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Multi-Level Semantic Feature Augmentation for One-Shot Learning

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Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning

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Deep Ranking for Image Zero-Shot Multi-Label Classification

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VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning

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Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation

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A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion

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Transductive Zero-Shot Learning With Adaptive Structural Embedding

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Zero-Shot Learning via Structure-Aligned Generative Adversarial Network

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Zero-Shot Learning on Semantic Class Prototype Graph

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Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

inferred← citeshttps://doi.org/10.1109/tpami.2019.2922175openalex-snapshot

Vocabulary-Informed Zero-Shot and Open-Set Learning

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Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning

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Recent Advances in Open Set Recognition: A Survey

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Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

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Zero-Shot Learning Via Recurrent Knowledge Transfer

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Zero-Shot Recognition via Optimal Transport

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Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning

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A Survey of Zero-Shot Learning

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Similarity-based calibration method for zero-shot recognition in multi-object scenes

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Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning

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Dynamic Knowledge Distillation with Cross-Modality Knowledge Transfer

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Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation

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Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy

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Open set text recognition technology

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Model reuse with domain knowledge

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A decadal survey of zero-shot image classification

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Panorama

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Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

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Zero-Shot Learning via Class-Conditioned Deep Generative Models

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Adversarial Zero-shot Learning With Semantic Augmentation

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Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning

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Synthesizing Samples for Zero-shot Learning

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Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder

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A Survey of Zero-Shot Image Classification: Concepts, Developments, and Challenges

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Pose-Aware Embedding Networks and Multi-Modal Image-Language Retrieval

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Pose-Aware Embedding Networks and Multi-Modal Image-Language Retrieval

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Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks

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Semi-supervised Zero-Shot Learning by a Clustering-based Approach

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Semantically Consistent Regularization for Zero-Shot Recognition

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Visually Aligned Word Embeddings for Improving Zero-shot Learning

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Unseen Class Discovery in Open-world Classification

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Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning

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MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

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Learning the Compositional Spaces for Generalized Zero-shot Learning

inferred← citeshttps://doi.org/10.48550/arxiv.1810.08332openalex-snapshot

Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning

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Bi-Adversarial Auto-Encoder for Zero-Shot Learning

inferred← citeshttps://doi.org/10.48550/arxiv.1901.01570openalex-snapshot

Transductive Zero-Shot Learning with Visual Structure Constraint

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Joint Concept Matching based Learning for Zero-Shot Recognition

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SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning

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From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition

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CRL: Class Representative Learning for Image Classification

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Automatic Discovery of Novel Intents & Domains from Text Utterances

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On Learning Semantic Representations for Million-Scale Free-Hand Sketches

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Visual-Semantic Embedding Model Informed by Structured Knowledge

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Deep Multimodal Learning for Joint Textual and Visual Reasoning

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