Deep reinforcement learning (DRL) demonstrates its potential in learning a model-free navigation policy for robot visual navigation. However, the data-demanding algorithm relies on a large number of navigation trajectories in training. Existing datasets supporting training such robot navigation algorithms consist of either 3D synthetic scenes or reconstructed scenes. Synthetic data suffers from...

To investigate preferential processing of emotional scenes competing for limited attentional resources with neutral scenes, prime pictures were presented briefly (450 ms), peripherally (5.2 degrees away from fixation), and simultaneously (one emotional and one neutral scene) versus singly. Primes were followed by a mask and a probe for recognition. Hit rate was higher for emotional than for neu...

Scenes Vocabulary The abstract scenes interface developed by Antol et al. [1] consists of 20 “deformable” humans, 31 animals in different poses, and about 100 objects that can be found in indoor scenes (e.g., couch, picture, doll, door, window, plant, fireplace) or outdoor scenes (e.g., tree, pond, sun, clouds, bench, bike, campfire, grill, skateboard). In addition to the 8 different expression...

Multispectral images of natural scenes were collected from both forests and coral reefs to represent typical, complex scenes that might be viewed by modern animals. Both reflectance spectra and modeled visual color signals in these scenes were decorrelated spectrally by principal-component analysis. Nearly 98% of the variance of reflectance spectra and color signals can be described by the firs...