The IKEA Furniture Assembly Environment is one of the first benchmarks for testing and accelerating the automation of complex manipulation tasks.
Pyramidal feature representation is the common practice to address the challenge of scale variation in object detection.
YOWO makes use of a single neural network to extract temporal and spatial information concurrently and predict bounding boxes and action probabilities directly from video clips in one evaluation.
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research.
We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
Responses generated by neural conversational models tend to lack informativeness and diversity.
Sequence-to-sequence neural network models for generation of conversational responses tend to generate safe, commonplace responses (e. g., "I don't know") regardless of the input.