Multimodal Text and Image Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (7 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.

• Are These Birds Similar: Learning Branched Networks for Fine-grained Representations
  16 Jan 2020 3 repositories listed
  In recent years, natural language descriptions are used to obtain information on discriminative parts of the object.
• Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices
  12 Sep 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In this paper, we propose Harmonic-NAS, a framework for the joint optimization of unimodal backbones and multimodal fusion networks with hardware awareness on resource-constrained devices.
• Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
  23 Dec 2020 1 repository listed
  Memes on the Internet are often harmless and sometimes amusing.
• Image and Text fusion for UPMC Food-101 \\using BERT and CNNs
  17 Dec 2020 1 repository listed
  The modern digital world is becoming more and more multimodal.
• Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
  14 Apr 2020 1 repository listed
  Multimedia content in social media platforms provides significant information during disaster events.

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.