Aug 1, 2024 · This paper constructs the Temporal Relation-aware Global Attention Network (TRGA-Net), which is a long-term temporal context modelling network.
Aug 5, 2024 · This paper constructs the Temporal Relation-aware Global Attention Network (TRGA-Net), which is a long-term temporal context modelling network.
We design a novel Content Temporal Relation Network (CTRNet) to generate temporal action proposals by exploring the content and temporal semantic relations ...
Feb 22, 2024 · This paper proposes a Temporal-aware Attention Network (TAN) that localizes context-rich proposals by enhancing the temporal representations of boundaries and ...
(RapNet) Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network (AAAI 2020) ... Proposal Relation Network for Temporal Action Detection ...
One solution is to use large size filters in the convolution layer [38]. The other solution is to stack deep layers [33] which increases the network size ...
Oct 22, 2024 · Temporal action detection, as a branch of video analysis, aims to locate the time points when the actions start and end, and classify the ...
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Oct 13, 2023 · To address this issue, we present the Attributes-Aware Network (AAN), which consists of two key components: the Attributes Extractor and a Graph ...
We design an effective Relation-Aware Global Attention ...
github.com › microsoft › Relation-Aware...
We propose an effective Relation-Aware Global Attention (RGA) module which captures the global structural information for better attention learning.
Missing: Temporal
Abstract—Temporal action localization aims to accurately localize and recognize all possible action instances from an untrimmed video automatically.