Cross-Modal Information Retrieval

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
  23 Jun 2016 2 repositories listed
  We choose to implement the actual search process as a similarity search in a visual feature space, by learning to translate a textual query into a visual representation.
• Improving Visual-Semantic Embeddings by Learning Semantically-Enhanced Hard Negatives for Cross-modal Information Retrieval
  10 Oct 2022 1 repository listed
  Visual Semantic Embedding (VSE) aims to extract the semantics of images and their descriptions, and embed them into the same latent space for cross-modal information retrieval.
• VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words
  1 Jan 2021 1 repository listed
  To the best of our knowledge, VisualSparta is the first transformer-based text-to-image retrieval model that can achieve real-time searching for large-scale datasets, with significant accuracy improvement compared to…
• Learning the Best Pooling Strategy for Visual Semantic Embedding
  9 Nov 2020 1 repository listed
  Visual Semantic Embedding (VSE) is a dominant approach for vision-language retrieval, which aims at learning a deep embedding space such that visual data are embedded close to their semantic text labels or descriptions.
• Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders
  12 Aug 2020 1 repository listed Syntology ran 2 of 16 samples · 14 unverified
  In this work, we tackle the task of cross-modal retrieval through image-sentence matching based on word-region alignments, using supervision only at the global image-sentence level.
• ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
  23 Jul 2020 1 repository listed
  Most existing algorithms for cross-modal Information Retrieval are based on a supervised train-test setup, where a model learns to align the mode of the query (e.
• Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles
  22 Nov 2019 1 repository listed
  Modeling the relationship between chemical structure and molecular activity is a key goal in drug development.
• CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
  9 Apr 2019 1 repository listed
  In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi-label image retrieval between very high resolution (VHR)…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.