Aug 30, 2020 · There are two key characteristics in this framework: (1) Both long-term and short-term sampled information are explicitly utilized in our ...
For sparse detection, we introduce an adaptive sam- pling module called dynamic temporal sampling (DTS) to boost the accuracy of tube construction at a much.
This paper proposes for the first time, an efficient framework that generates action tube proposals from video streams with a single forward pass in a ...
The task of spatial-temporal action detection has attracted increasing researchers. Existing dominant methods solve this problem by relying on short-term ...
Mar 4, 2024 · In this paper, we present a simple end-to-end action tube detection method, termed as Sparse Tube Detector (STDet). Unlike those dense action ...
Finding Action Tubes with a Sparse-to-Dense Framework · Online Hierarchical Linking of Action Tubes for Spatio-Temporal Action Detection Based on Multiple C...
There are two key characteristics in this framework: (1) Both long-term and short-term sampled information are explicitly utilized in our spatio-temporal ...
The sparse-dense attention is divided into groups of tube-shaped patches to focus on temporal features. Second, token–group interaction is used to improve ...
Finding Action Tubes with a Sparse-to-Dense Framework. February 1, 2023. Topics: AAAI · Real-Time Scene Text Detection with Differentiable Binarization.
Driven by the latest progress in object detection from 2D images, we build action models using rich feature hierar- chies derived from shape and kinematic cues.
Missing: Sparse- | Show results with:Sparse-