3 accepted papers
With the increasing demand for efficient and flexible robotic exploration solutions, Reinforcement Learning (RL) is becoming a promising approach in the field of autonomous robotic exploration. However, current RL-based exploration algorithms often face limited environmental reasoning capabilities,
Deep neural networks have achieved great success in various domains, however, it is fragile against backdoor attacks. Currently, the backdoor attack method in video recognition mainly comes from the expansion of the field of image classification, it faces the challenge that the trigger can be percei…
Document retrieval in real-world scenarios faces significant challenges due to diverse document formats and modalities. Traditional text-based approaches rely on tailored parsing techniques that disregard layout information and are prone to errors, while recent parsing-free visual methods often stru…