Datasets › MOMA-LRG

MOMA-LRG (Multi-Object Multi-Actor activity parsing with Language-Refined Graphs)

Introduced by Zelun Luo et al. in MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing28 Nov 2022 archive 2025-07-28

A dataset dedicated to multi-object, multi-actor activity parsing.

The dataset contains * Video-level labels (activities) * Segment-level labels (sub-activities) * Atomic actions (spatio-temporal scene graph)

The scene graph annotations contain object/actor classes and bounding boxes, relationship annotations, and object/actor attributes.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Few Shot Action Recognition MOMA-LRG Name Tuning Activity Classification Accuracy (5-shot 5-way) 97.9 Few-Shot Classification of Interactive Activities of... zanedurante/vlm_benchmark 4 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 3. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MOMA-LRG

1 variant name, as the archive lists them.

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