Component Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

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

Subtasks archive 2025-07-28

No subtask under this task 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 (18 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.

• Modeling of spatially embedded networks via regional spatial graph convolutional networks
  20 Jun 2024 1 repository listed
  This study introduces a novel geometric-based multimodal deep learning model for spatially embedded network representation learning, namely the regional spatial graph convolutional network (RSGCN).
• VoltaVision: A Transfer Learning model for electronic component classification
  5 Apr 2024 1 repository listed
  In this paper, we analyze the effectiveness of transfer learning on classifying electronic components.
• Principal Component Classification
  23 Oct 2022 1 repository listed
  We propose to directly compute classification estimates by learning features encoded with their class scores using PCA.
• Ammunition Component Classification Using Deep Learning
  26 Aug 2022 1 repository listed
  The trained models are tested against unseen data in order to evaluate the performance of the applied method.
• Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
  22 Aug 2022 1 repository listed
  Recognizing the layout of unstructured digital documents is crucial when parsing the documents into the structured, machine-readable format for downstream applications.
• Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
  9 Mar 2021 1 repository listed
  A common need for mobile application development by end-users or in computing education is to transform a sketch of a user interface into wireframe code using App Inventor, a popular block-based programming environment.
• Multi-Task Attentive Residual Networks for Argument Mining
  24 Feb 2021 1 repository listed
  We explore the use of residual networks and neural attention for multiple argument mining tasks.
• Argumentative Link Prediction using Residual Networks and Multi-Objective Learning
  1 Nov 2018 1 repository listed
  We explore the use of residual networks for argumentation mining, with an emphasis on link prediction.