Visual active search tool combines deep reinforcement learning, traditional active search methods

In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.

applications computer sciences detection exploration framework geospatial guide identification modeling quest reinforcement reinforcement learning search tool visual visual cues wildlife