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Found 6 papers, 4 papers with code
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification
The crux of learning vision-language models is to extract semantically aligned information from visual and linguistic data.
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
It comprises two core components: a snippet clustering component that groups the snippets into multiple latent clusters and a cluster classification component that further classifies the cluster as foreground or background.
Improve Temporal Action Proposals using Hierarchical Context
In this paper, we propose a novel hierarchical context network (HCN) to further explore the snippet-level and proposal-level contexts, which are used to improve the representations of snippets and proposals, respectively.
Ranked #1 on
Temporal Action Proposal Generation
on THUMOS' 14
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition
Furthermore, to leverage the complementarity of domain-shared features and target-specific features, we propose a novel collaborative clustering strategy to enforce pair-wise relationship consistency between the two branches.
Unleashing the Potential of Adjacent Snippets for Weakly-supervised Temporal Action Localization
C$^3$BN consists of two key ingredients: a micro data augmentation strategy that increases the diversity in-between adjacent snippets by convex combination of adjacent snippets, and a macro-micro consistency regularization that enforces the model to be invariant to the transformations~\textit{w. r. t.}
Progressive Boundary Refinement Network for Temporal Action Detection
Temporal action detection is a challenging task due to vagueness of action boundaries.
