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BRMR: TAL Based on Boundary Refinement and Multi-scale Regression
Transformer based networks have been widely used in Temporal Action Localization (TAL). An example of this is the previous state of the art method... -
Optimal TAL-based registration with cell-based central policy in mobile cellular networks: a semi-Markov process approach
LTE networks consist of tracking areas (TAs) or a group of cells, while several TAs constitute a TA list (TAL). The LTE network adopts TAL-based...
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Enhancing action discrimination via category-specific frame clustering for weakly-supervised temporal action localization
Temporal action localization (TAL) is a task of detecting the start and end timestamps of action instances and classifying them in an untrimmed...
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Quantum versus Randomized Communication Complexity, with Efficient Players
We study a new type of separations between quantum and classical communication complexity, separations that are obtained using quantum protocols...
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Dilation-erosion for single-frame supervised temporal action localization
To balance the annotation labor and the granularity of supervision, single-frame annotation has been introduced in temporal action localization. It...
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A Sliding Window Scheme for Online Temporal Action Localization
Most online video understanding tasks aim to immediately process each streaming frame and output predictions frame-by-frame. For extension to... -
Weakly Supervised Temporal Action Localization Through Segment Contrastive Learning
Weakly-supervised temporal action localization (WS-TAL) aims to learn localizing action with only video-level labels. In general, traditional methods... -
Weakly supervised temporal action localization: a survey
Temporal action localization (TAL) is one of the most important tasks in video understanding. Weakly supervised temporal action localization (WTAL)...
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Temporal Deformable Transformer for Action Localization
Temporal action localization (TAL) is a challenging task that has received significant attention in video understanding. Recently, Transformer-based... -
Temporal action localization using gated recurrent units
Temporal action localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has...
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Spatial–temporal correlations learning and action-background jointed attention for weakly-supervised temporal action localization
Weakly supervised temporal action localization (W-TAL) is designed to detect and classify all the action instances in an untrimmed video with only...
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An extension of the ADVISE Meta modeling framework and its application for an early-stage security analysis of a public transport supervision system
Early-stage security analysis can be used for a preliminary assessment of the security level of a system, thus providing useful insights to guide the...
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Deep cascaded action attention network for weakly-supervised temporal action localization
Weakly-supervised temporal action localization (W-TAL) is to locate the boundaries of action instances and classify them in an untrimmed video, which...
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A Lightweight nnU-Net Combined with Target Adaptive Loss for Organs and Tumors Segmentation
Accurate and automated abdominal organs and tumors segmentation is of great importance in clinical practice. Due to the high time- and... -
The effect of technology-assisted and project-based learning approaches on students’ attitudes towards mathematics and their academic achievement
The aim of the present study was to examine the effects of Technology-Assisted Learning (TAL) and Project-Based Learning (PjBL) approaches upon...
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Dual-Evidential Learning for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WS-TAL) aims to localize the action instances and recognize their categories with only video-level... -
Student-teachers’ sense of belonging in collaborative online learning
Recent years have seen a sharp increase in the transition from traditional teaching methods to online distance teaching and learning in all...
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Weakly-supervised temporal action localization: a survey
Temporal Action Localization (TAL) is an important task of various computer vision topics such as video understanding, summarization, and analysis....
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Modeling Emotion Perception from Body Movements for Human-Machine Interactions Using Laban Movement Analysis
Emotion recognition from body movements is based in humans on the existence of associations in our brains between certain movements and specific... -
Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system
In light of the widespread use of algorithmic (intelligent) systems across numerous domains, there is an increasing awareness about the need to...