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Found 10 papers, 4 papers with code
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Within CivRealm, we provide interfaces for two typical agent types: tensor-based agents that focus on learning, and language-based agents that emphasize reasoning.
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
In this work, we propose a new conflict-based cross-view consistency (CCVC) method based on a two-branch co-training framework which aims at enforcing the two sub-nets to learn informative features from irrelevant views.
A Quantum Algorithm for Solving Linear Differential Equations: Theory and Experiment
We present and experimentally realize a quantum algorithm for efficiently solving the following problem: given an $N\times N$ matrix $\mathcal{M}$, an $N$-dimensional vector $\textbf{\emph{b}}$, and an initial vector $\textbf{\emph{x}}(0)$, obtain a target vector $\textbf{\emph{x}}(t)$ as a function of time $t$ according to the constraint $d\textbf{\emph{x}}(t)/dt=\mathcal{M}\textbf{\emph{x}}(t)+\textbf{\emph{b}}$.
Quantum Physics
Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report
We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge.
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Many tasks in artificial intelligence require the collaboration of multiple agents.
Collaborative Deep Reinforcement Learning for Joint Object Search
We examine the problem of joint top-down active search of multiple objects under interaction, e. g., person riding a bicycle, cups held by the table, etc..
SSoC: Learning Spontaneous and Self-Organizing Communication for Multi-Agent Collaboration
By treating the communication behaviour as an explicit action, SSoC learns to organize communication in an effective and efficient way.
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
In the system, each camera is equipped with two controllers and a switcher: The vision-based controller tracks targets based on observed images.
Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation
In this paper we propose a multi-modal multi-correlation learning framework targeting at the task of audio-visual speech separation.
FF-Former: Swin Fourier Transformer for Nighttime Flare Removal
And the flare can cause the dark regions to become brighter and result in a loss of contrast and alteration of the frequency characteristics of the image.
Ranked #1 on
Flare Removal
on Flare7K
