Video Action Detection

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

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (32 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.

• Context-Aware RCNN: A Baseline for Action Detection in Videos
  20 Jul 2020 3 repositories listed
  In this work, we first empirically find the recognition accuracy is highly correlated with the bounding box size of an actor, and thus higher resolution of actors contributes to better performance.
• Stable Mean Teacher for Semi-supervised Video Action Detection
  10 Dec 2024 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  In this work, we focus on semi-supervised learning for video action detection.
• Efficient Video Action Detection with Token Dropout and Context Refinement
  17 Apr 2023 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Our EVAD consists of two specialized designs for video action detection.
• Spotting Temporally Precise, Fine-Grained Events in Video
  20 Jul 2022 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 1 pointer-only (licence)
  We introduce the task of spotting temporally precise, fine-grained events in video (detecting the precise moment in time events occur).
• Asynchronous Interaction Aggregation for Action Detection
  16 Apr 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We propose the Asynchronous Interaction Aggregation network (AIA) that leverages different interactions to boost action detection.
• Actor Conditioned Attention Maps for Video Action Detection
  30 Dec 2018 2 repositories listed
  While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context.
• Scaling Open-Vocabulary Action Detection
  4 Apr 2025 1 repository listed
  In this work, we focus on scaling open-vocabulary action detection.
• JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts
  18 Dec 2024 1 repository listed
  Video Action Detection (VAD) entails localizing and categorizing action instances within videos, which inherently consist of diverse information sources such as audio, visual cues, and surrounding scene contexts.
• On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
  25 Oct 2024 1 repository listed Syntology ran 0 of 6 samples · 6 unverified · 6 pointer-only (licence)
  This paper explores the impact of occlusions in video action detection.
• Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation
  25 Jun 2024 1 repository listed
  The proliferation of complex deep learning (DL) models has revolutionized various applications, including computer vision-based solutions, prompting their integration into real-time systems.
• Generative Model-based Feature Knowledge Distillation for Action Recognition
  14 Dec 2023 1 repository listed
  Addressing this gap, our paper introduces an innovative knowledge distillation framework, with the generative model for training a lightweight student model.
• Semi-supervised Active Learning for Video Action Detection
  12 Dec 2023 1 repository listed Syntology ran 4 of 6 samples · 2 unverified
  First, we demonstrate its effectiveness on video action detection where the proposed approach outperforms prior works in semi-supervised and weakly-supervised learning along with several baseline approaches in both…
• E^2TAD: An Energy-Efficient Tracking-based Action Detector
  9 Apr 2022 1 repository listed
  Video action detection (spatio-temporal action localization) is usually the starting point for human-centric intelligent analysis of videos nowadays.
• End-to-End Semi-Supervised Learning for Video Action Detection
  8 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  In this work, we focus on semi-supervised learning for video action detection which utilizes both labeled as well as unlabeled data.
• A Stronger Baseline for Ego-Centric Action Detection
  13 Jun 2021 1 repository listed
  This technical report analyzes an egocentric video action detection method we used in the 2021 EPIC-KITCHENS-100 competition hosted in CVPR2021 Workshop.
• TubeR: Tubelet Transformer for Video Action Detection
  2 Apr 2021 1 repository listed Syntology ran 5 of 9 samples · 4 unverified
  We propose TubeR: a simple solution for spatio-temporal video action detection.
• Video action detection by learning graph-based spatio-temporal interactions
  9 Dec 2019 1 repository listed
  Action Detection is a complex task that aims to detect and classify human actions in video clips.
• STEP: Spatio-Temporal Progressive Learning for Video Action Detection
  19 Apr 2019 1 repository listed
  In this paper, we propose Spatio-TEmporal Progressive (STEP) action detector---a progressive learning framework for spatio-temporal action detection in videos.
• Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
  30 Mar 2017 1 repository listed
  A video is first divided into equal length clips and for each clip a set of tube proposals are generated next based on 3D Convolutional Network (ConvNet) features.

Syntology lines on 8 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.