3 accepted papers
Long-term time series forecasting (LTSF) plays a crucial role in fields such as energy management, finance, and traffic prediction. Transformer-based models have adopted patch-based strategies to capture long-range dependencies, but accurately modeling shape similarities across patches and variables…
Object-goal navigation is a highly challenging task where an agent must navigate to a target solely based on visual observations. Current reinforcement learning-based methods for object-goal navigation face two major challenges: first, the agent lacks sufficient perception of environmental context i
Most face anti-spoofing methods address the generalization problem by extracting domain-invariant representations from multiple source domains or unlabelled target data. However, their deployment in real-world applications is unfeasible when data is insufficient or unavailable due to the collection…