Using Text to Teach Image Retrieval
Explore this paper's citation graph
- Type
- preprint
- Published
- 2020-11-19
- Cited by
- 5
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W3101986385
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:227054513
Keywords
Computer science, Image retrieval, Embedding, Manifold alignment, Geodesic
References
- Learning Two-Branch Neural Networks for Image-Text Matching Tasks
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- Semi-Supervised Learning on Riemannian Manifolds
- Learning Fine-Grained Image Similarity with Deep Ranking
- A global geometric framework for nonlinear dimensionality reduction.
- A Method for Registration of 3-D Shapes
- Cluster Kernels for Semi-Supervised Learning
- Neighbourhood Components Analysis
- Learning with Local and Global Consistency
- Deep Residual Learning for Image Recognition
- Exploring photobios
- Generative Adversarial Text to Image Synthesis
- Semantic Compositional Networks for Visual Captioning
- CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
- VQA: Visual Question Answering
- No Fuss Distance Metric Learning Using Proxies
- Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
- A simple neural network module for relational reasoning
- Scene Parsing through ADE20K Dataset
- Automatic Spatially-Aware Fashion Concept Discovery
Cited by
- A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch
- Towards Generated Image Provenance Analysis via Conceptual-Similar-Guided-SLIP Retrieval
- Bridging the Lexical Gap: Generative Text-to-Image Retrieval for Parts-of-Speech Imbalance in Vision-Language Models
- Composed image retrieval: a survey on recent research and development
- Handle the problem of ample label space by using the Image-guided Feature Extractor on the MUSTI dataset
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