86 datasets found

EPIC-KITCHENS is a large-scale egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily activities: we...

Temporal sentence grounding in videos (TSGV) is a task to retrieve a video segment that semantically corresponds to a query in natural language.

A challenging real-world dataset for deepfake detection.

A deepfake detection method that can address the issue of modifying segments of videos using generative techniques.

The AGRE ADOS database, Kaggle database, and a self-gathered video test dataset with corresponding ADOS data

The HMDB dataset consists of 6766 videos from 51 different action categories. The videos are generally of low quality, with strong camera motion, and non-centered people.

InternVid: A large-scale video-text dataset for multimodal understanding and generation.

The proposed network is implemented in PyTorch using a single Tesla V100-DGXS-32GB GPU of an NVIDIA DGX station. For the ResNet-50 part, PyTorch default ImageNet pretrained...

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.

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

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...

The VGGSound dataset is a large-scale audio-visual dataset containing 10,000 10-second video clips with corresponding audio files.

The dataset contains videos of people performing normal activities and falls.

The dataset contains videos of people performing normal activities and falls.

The proposed spatio-temporal adversarial learning framework for detecting unseen falls from videos.

The SEWA dataset contains video clips annotated with facial landmarks, valence, and arousal.

The AFEW-VA dataset contains video clips annotated with valence and arousal.

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...

The MuscleMap dataset is a large-scale video-based dataset for Activated Muscle Group Estimation (AMGE) in the wild task. It contains 15,004 video clips with 135 different...

MoVi is a large multi-purpose human motion and video dataset.