Action Understanding

24 papers with code • 1 benchmarks • 4 datasets

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Most implemented papers

Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning

acewjh/fsfg 15 Aug 2021

Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare fine-grained categories is very limited.

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

jhong93/vpd ICCV 2021

This leads to poor accuracy when downstream tasks, such as action recognition, depend on pose.

Towards Tokenized Human Dynamics Representation

likenneth/acton 22 Nov 2021

For human action understanding, a popular research direction is to analyze short video clips with unambiguous semantic content, such as jumping and drinking.

Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment

ParitoshParmar/Fitness-AQA 28 Feb 2022

To that end, we propose to learn exercise-oriented image and video representations from unlabeled samples such that a small dataset annotated by experts suffices for supervised error detection.

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

ttlmh/bridge-prompt CVPR 2022

The generated text prompts are paired with corresponding video clips, and together co-train the text encoder and the video encoder via a contrastive approach.

Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos

ASU-APG/TragedyPlusTime 28 Apr 2022

In videos that contain actions performed unintentionally, agents do not achieve their desired goals.

Action Quality Assessment with Temporal Parsing Transformer

baiyang4/aqa_tpt 19 Jul 2022

Action Quality Assessment(AQA) is important for action understanding and resolving the task poses unique challenges due to subtle visual differences.

Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions

lizhi1104/haan 24 Jul 2022

Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences.

Paxion: Patching Action Knowledge in Video-Language Foundation Models

mikewangwzhl/paxion NeurIPS 2023

Action knowledge involves the understanding of textual, visual, and temporal aspects of actions.

Memory-and-Anticipation Transformer for Online Action Understanding

echo0125/memory-and-anticipation-transformer ICCV 2023

Based on this idea, we present Memory-and-Anticipation Transformer (MAT), a memory-anticipation-based approach, to address the online action detection and anticipation tasks.