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Vectorized evidential learning for weakly-supervised temporal action localization
With the explosive growth of videos, weakly-supervised temporal action localization (WS-
TAL) task has become a promising research direction in pattern analysis and machine …
TAL) task has become a promising research direction in pattern analysis and machine …
Proposal-based multiple instance learning for weakly-supervised temporal action localization
Weakly-supervised temporal action localization aims to localize and recognize actions in
untrimmed videos with only video-level category labels during training. Without instance …
untrimmed videos with only video-level category labels during training. Without instance …
Deconfounded video moment retrieval with causal intervention
We tackle the task of video moment retrieval (VMR), which aims to localize a specific
moment in a video according to a textual query. Existing methods primarily model the …
moment in a video according to a textual query. Existing methods primarily model the …
Asm-loc: Action-aware segment modeling for weakly-supervised temporal action localization
Weakly-supervised temporal action localization aims to recognize and localize action
segments in untrimmed videos given only video-level action labels for training. Without the …
segments in untrimmed videos given only video-level action labels for training. Without the …
Fine-grained temporal contrastive learning for weakly-supervised temporal action localization
We target at the task of weakly-supervised action localization (WSAL), where only video-
level action labels are available during model training. Despite the recent progress, existing …
level action labels are available during model training. Despite the recent progress, existing …
Weakly supervised temporal action localization via representative snippet knowledge propagation
Weakly supervised temporal action localization targets at localizing temporal boundaries of
actions and simultaneously identify their categories with only video-level category labels …
actions and simultaneously identify their categories with only video-level category labels …
Pivotal: Prior-driven supervision for weakly-supervised temporal action localization
Abstract Weakly-supervised Temporal Action Localization (WTAL) attempts to localize the
actions in untrimmed videos using only video-level supervision. Most recent works approach …
actions in untrimmed videos using only video-level supervision. Most recent works approach …
Ei-clip: Entity-aware interventional contrastive learning for e-commerce cross-modal retrieval
Abstract recommendation, and marketing services. Extensive efforts have been made to
conquer the cross-modal retrieval problem in the general domain. When it comes to E …
conquer the cross-modal retrieval problem in the general domain. When it comes to E …
Temporal action localization in the deep learning era: A survey
The temporal action localization research aims to discover action instances from untrimmed
videos, representing a fundamental step in the field of intelligent video understanding. With …
videos, representing a fundamental step in the field of intelligent video understanding. With …
Learning action completeness from points for weakly-supervised temporal action localization
We tackle the problem of localizing temporal intervals of actions with only a single frame
label for each action instance for training. Owing to label sparsity, existing work fails to learn …
label for each action instance for training. Owing to label sparsity, existing work fails to learn …