Sonar image object detection is essential in underwater rescue and resource exploration.
Although many convolution neural network (CNN)-based object detection algorithms have …

In this paper, we propose a study on multi-modal (audio and video) action spotting and
classification in soccer videos. Action spotting and classification are the tasks that consist in …

Weakly-supervised temporal action localization aims to localize actions from untrimmed long
videos with only video-level category labels. Most previous methods ignore the …

Video representation is of significant importance for temporal action detection. The two sub-
tasks of temporal action detection, ie, action classification and action localization, have …

Temporal action detection (TAD) is an important yet challenging task in video analysis. Most
existing works draw inspiration from image object detection and tend to reformulate it as a …

Weakly-supervised temporal action localization (WTAL) is a challenging task in
understanding untrimmed videos, in which no frame-wise annotation is provided during …

Weakly supervised temporal action localization aims to localize action instances with only
video-level supervision. Due to the absence of frame-level annotation supervision, how …

Temporal action proposal generation aims to generate temporal video segments containing
human actions in untrimmed videos, which is always a preliminary for such video …

Abstract Weakly-Supervised Temporal Action Localization (WSTAL) aims to train an action
instance localization model from untrimmed videos with only video-level labels, similar to the …

Analyzing student actions is an important and challenging task in educational research.
Existing efforts have been hampered by the lack of accessible datasets to capture the …