AI2-THOR: An Interactive 3D Environment for Visual AI
원문 초록
We introduce The House Of inteRactions (THOR), a framework for visual AI research, available at http://ai2thor.allenai.org. AI2-THOR consists of near photo-realistic 3D indoor scenes, where AI agents can navigate in the scenes and interact with objects to perform tasks. AI2-THOR enables research in many different domains including but not limited to deep reinforcement learning, imitation learning, learning by interaction, planning, visual question answering, unsupervised representation learning, object detection and segmentation, and learning models of cognition. The goal of AI2-THOR is to facilitate building visually intelligent models and push the research forward in this domain.
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Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
QuickPose: Real-time Multi-view Multi-person Pose Estimation in Crowded Scenes
From Roots to Rewards: Dynamic Tree Reasoning with RL
Describe Anything Model for Visual Question Answering on Text-rich Images
Warehouse Spatial Question Answering with LLM Agent
Deep Reinforcement Learning with Gradient Eligibility Traces
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