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Found 4 papers, 1 papers with code
Attentive Prototype Few-shot Learning with Capsule Network-based Embedding
Few-shot learning, namely recognizing novel categories with a very small amount of training examples, is a challenging area of machine learning research.
Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization
Automatically generating the descriptions of an image, i. e., image captioning, is an important and fundamental topic in artificial intelligence, which bridges the gap between computer vision and natural language processing.
Traffic scene recognition based on deep cnn and vlad spatial pyramids
In this paper, we attempted to solve the traffic scene recognition problem by combining the features representational capabilities of CNN with the VLAD encoding scheme.
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold.
Systems and Control
