Video Analysis - Groups

Action Search: Spotting Actions in Videos

This paper proposes a method for action search in videos, which is used for spotting actions in videos.

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50 Salads dataset

The dataset used in the paper is the 50 Salads dataset, which contains 50 videos showing people preparing salads. The dataset is used for dense action forecasting, and the...

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Breakfast dataset

The Breakfast dataset is another dataset used in the paper, which contains 712 videos of people performing various activities, such as making coffee or scrambling eggs. The...

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AViD Dataset: Anonymized Videos from Diverse Countries

AViD is a new public video dataset for action recognition, containing action videos from diverse countries.

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THUMOS'13 Dataset

The THUMOS'13 dataset contains 24 classes and 3,207 videos.

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JHMDB Dataset

The JHMDB dataset contains a varying number of actions (21 in JHMDB) across different domains (sports and daily activities).

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UCF Sports Dataset

The UCF Sports dataset contains a varying number of actions (10 in UCF Sports, 21 in JHMDB, and 24 in THUMOS’13) across different domains (sports and daily activities).

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THUMOS'14, ActivityNet v1.3

Temporal action detection in untrimmed videos via multi-stage cnns, Cdc: convolutional-de-convolutional networks for precise temporal action localization, Temporal action...

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ActivityNet1.2

The ActivityNet1.2 dataset is a large-scale benchmark for action recognition and localization in videos.

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SCUBA and SCUFO

The dataset used in the paper to evaluate static bias in action representations.

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THUMOS Challenge: Action Recognition with a Large Number of Classes

THUMOS Challenge: Action Recognition with a Large Number of Classes.

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ActivityNet-1.3

Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations...

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ActivityNet v1.3

Temporal action proposal generation is an important task, akin to object proposals, temporal action proposals are intended to capture “clips” or temporal intervals in videos...

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UCF-24 and JHMDB-21

UCF-24 and JHMDB-21 are two public action datasets used for evaluation of action detection algorithms.

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ActivityNet v1.2

Weakly-Supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos with only video-level labels.

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Kinetics dataset

The Kinetics dataset is a large-scale action recognition dataset. It contains videos of various actions performed by humans, with annotations of the actions performed.