123 citations · 132 across the 5 of their papers we have counts for
6 papers
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval
Qi Zhao, Xu Wang, Shuchang Lyu +2
Large-scale fine-grained image retrieval has two main problems. First, low dimensional feature embedding can fasten the retrieval process but bring accuracy reduce due to overlooki…
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Xingkui Zhu, Shuchang Lyu, Xu Wang +1
Object detection on drone-captured scenarios is a recent popular task. As drones always navigate in different altitudes, the object scale varies violently, which burdens the optimi…
MM-FSOD: Meta and metric integrated few-shot object detection
Yuewen Li, Wenquan Feng, Shuchang Lyu +2
In the object detection task, CNN (Convolutional neural networks) models always need a large amount of annotated examples in the training process. To reduce the dependency of expen…
A Deep Learning Framework for Predicting Digital Asset Price Movement from Trade-by-trade Data
Qi Zhao
This paper presents a deep learning framework based on Long Short-term Memory Network(LSTM) that predicts price movement of cryptocurrencies from trade-by-trade data. The main focu…
Human Annotations Improve GAN Performances
Juanyong Duan, Sim Heng Ong, Qi Zhao
Generative Adversarial Networks (GANs) have shown great success in many applications. In this work, we present a novel method that leverages human annotations to improve the qualit…
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
Nick Erickson, Qi Zhao
This paper introduces Dex, a reinforcement learning environment toolkit specialized for training and evaluation of continual learning methods as well as general reinforcement learn…