3 accepted papers
Self-knowledge distillation does not require a pre-trained teacher network like traditional knowledge distillation. Existing methods either require additional parameters or require additional memory consumption. To alleviate this problem, this paper proposes a more efficient self-knowledge distillat…
Learning to interact with objects is significant for robots to integrate into human environments. When the interaction semantic is definite, manually guiding the manipulator is a commonly used method to teach robots how to interact with objects. However, the learning results are robot-dependent beca
When robots carry out task, selecting an appropriate tool is necessary. The current research ignores the fine-grained characteristic of tasks, and mainly focuses on whether the task can be completed. Little consideration is paid for the object being manipulated, which affects the task completion qua