Temporal Action Proposal Generation
16 papers with code • 3 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Temporal Action Proposal Generation
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Libraries
Use these libraries to find Temporal Action Proposal Generation models and implementations
ActivityNet
THUMOS14
ActivityNet Captions
FineAction
Most implemented papers
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
vhvkhoa/tapg-agentenvinteration
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In this paper, we make an attempt to simulate that ability of a human by proposing Actor Environment Interaction (AEI) network to improve the video representation for temporal action proposals generation.
Temporal Action Proposal Generation with Background Constraint
happy-lifi/BCNet
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To evaluate the confidence of proposals, the existing works typically predict action score of proposals that are supervised by the temporal Intersection-over-Union (tIoU) between proposal and the ground-truth.
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
vhvkhoa/TAPG-AgentEnvNetwork
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Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of video analysis and understanding.
Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
Based on PRSlot modules, we present a novel Pyramid Region-based Slot Attention Network termed PRSA-Net to learn a unified visual representation with rich temporal and semantic context for better proposal generation.
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
PMR module represents each video snippet by a visual-linguistic feature, in which main actors and surrounding environment are represented by visual information, whereas relevant objects are depicted by linguistic features through an image-text model.
Temporal Action Proposal Generation With Action Frequency Adaptive Network
2024-MindSpore-1/Code8
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journal 2023
Although large achievements in temporal action proposal generation have been achieved, most previous studies ignore the variability of action frequency in raw videos, leading to unsatisfying performances on high-action-frequency videos.
