Deep Learning
PeripheralVisionTransformer
As seen in Figure 1, we have high-resolution processing near the center ofourgaze,i.e.,central and para-central regions, toidentify highly-detailed visual elements such as geometric shapes, and low-level details.
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
Recently, model-based reinforcement learning algorithms have demonstrated remarkable efficacy in visual input environments.
Provably robust boosted decision stumps and trees against adversarial attacks
Maksym Andriushchenko, Matthias Hein
Neural Information Processing Systems http://nips.cc/
Active Perception for Grasp Detection via Neural Graspness Field
Real-world experiments show that our method achieves a superior trade-off between grasping performance and time costs.