Learning to Explore Informative Trajectories and Samples for Embodied Perception
Ya Jing,Tao Kong,Ya Jing,Tao Kong
We are witnessing significant progress on perception models, specifically those trained on large-scale internet images. However, efficiently generalizing these perception models to unseen embodied tasks is insufficiently studied, which will help various relevant applications (e.g., home robots). Unlike static perception methods trained on pre-collected images, the embodied agent can move around in...
