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Found 12 papers, 5 papers with code
Dual DETRs for Multi-Label Temporal Action Detection
To address this issue, we propose a new Dual-level query-based TAD framework, namely DualDETR, to detect actions from both instance-level and boundary-level.
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
We test our algorithm in an ITS environment with edge cloud computing.
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
Traditional temporal action detection (TAD) usually handles untrimmed videos with small number of action instances from a single label (e. g., ActivityNet, THUMOS).
Ranked #4 on
Temporal Action Localization
on MultiTHUMOS
Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application
We formulate offloading of computational tasks from a dynamic group of mobile agents (e. g., cars) as decentralized decision making among autonomous agents.
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach
Local context modeling sub-network is proposed to perceive diverse patterns of generic event boundaries, and it generates powerful video representations and reliable boundary confidence.
A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions
The system has been implemented as proof of concept and is currently reimplemented and transferred to a production system based on the Jadex agent platform.
Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games
We propose a multi-agent distributed reinforcement learning algorithm that balances between potentially conflicting short-term reward and sparse, delayed long-term reward, and learns with partial information in a dynamic environment.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions
We formulate computation offloading as a decentralized decision-making problem with autonomous agents.
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection
Instead, in this paper, we present Temporal Perceiver, a general architecture with Transformer, offering a unified solution to the detection of arbitrary generic boundaries, ranging from shot-level, event-level, to scene-level GBDs.
Practical Wide-Angle Portraits Correction with Deep Structured Models
Wide-angle portraits often enjoy expanded views.
Relaxed Transformer Decoders for Direct Action Proposal Generation
Extensive experiments on THUMOS14 and ActivityNet-1. 3 benchmarks demonstrate the effectiveness of RTD-Net, on both tasks of temporal action proposal generation and temporal action detection.
Local Context Attention for Salient Object Segmentation
Based on this priori, we propose a novel Local Context Attention Network (LCANet) to generate locally reinforcement feature maps in a uniform representational architecture.
