Affordance Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

3 datasets 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.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (23 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.

• Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
  24 Feb 2022 4 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  In this paper, we explore to perceive affordance from a vision-language perspective and consider the challenging phrase-based affordance detection problem, i.
• One-Shot Affordance Detection
  28 Jun 2021 2 repositories listed
  To empower robots with this ability in unseen scenarios, we consider the challenging one-shot affordance detection problem in this paper, i.
• Affordance Transfer Learning for Human-Object Interaction Detection
  7 Apr 2021 2 repositories listed
  The proposed method can thus be used to 1) improve the performance of HOI detection, especially for the HOIs with unseen objects; and 2) infer the affordances of novel objects.
• AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
  21 Sep 2017 2 repositories listed
  We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple objects and their affordances from RGB images.
• Multi-label affordance mapping from egocentric vision
  5 Sep 2023 1 repository listed
  We use this method to build the largest and most complete dataset on affordances based on the EPIC-Kitchen dataset, EPIC-Aff, which provides interaction-grounded, multi-label, metric and spatial affordance annotations.
• Open-Vocabulary Affordance Detection in 3D Point Clouds
  4 Mar 2023 1 repository listed Syntology ran 6 of 11 samples · 5 unverified
  In this paper, we present the Open-Vocabulary Affordance Detection (OpenAD) method, which is capable of detecting an unbounded number of affordances in 3D point clouds.
• Affordance detection with Dynamic-Tree Capsule Networks
  9 Nov 2022 1 repository listed
  In the experimental evaluation we will show that our algorithm is superior to current affordance detection methods when faced with grasping previously unseen objects thanks to our Capsule Network enforcing a…
• Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study
  15 Dec 2021 1 repository listed
  This study enables the setup of a baseline on the performance of SD, as well as its relative performance in comparison to OD, in a variety of scenarios.
• One-Shot Object Affordance Detection in the Wild
  8 Aug 2021 1 repository listed
  To empower robots with this ability in unseen scenarios, we first study the challenging one-shot affordance detection problem in this paper, i.
• 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
  30 Mar 2021 1 repository listed Syntology ran 6 of 12 samples · 6 unverified
  The ability to understand the ways to interact with objects from visual cues, a.
• Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks
  12 Sep 2019 1 repository listed
  Unfortunately, the top performing affordance recognition methods use object category priors to boost the accuracy of affordance detection and segmentation.
• What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection
  3 Dec 2018 1 repository listed
  This paper develops and evaluates a novel method that allows for the detection of affordances in a scalable and multiple-instance manner on visually recovered pointclouds.
• Weakly Supervised Affordance Detection
  1 Jul 2017 1 repository listed
  Localizing functional regions of objects or affordances is an important aspect of scene understanding and relevant for many robotics applications.

Syntology lines on 3 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.