211 citations · 792 across the 32 of their papers we have counts for
6 papers · 1 filter
Discriminative and Robust Online Learning for Siamese Visual Tracking
Jinghao Zhou, Peng Wang, Haoyang Sun
The problem of visual object tracking has traditionally been handled by variant tracking paradigms, either learning a model of the object's appearance exclusively online or matchin…
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
Damien Teney, Peng Wang, Jiewei Cao +3
One of the primary challenges faced by deep learning is the degree to which current methods exploit superficial statistics and dataset bias, rather than learning to generalise over…
NAS-FCOS: Fast Neural Architecture Search for Object Detection
Ning Wang, Yang Gao, Hao Chen +4
The success of deep neural networks relies on significant architecture engineering. Recently neural architecture search (NAS) has emerged as a promise to greatly reduce manual effo…
A Holistic Representation Guided Attention Network for Scene Text Recognition
Lu Yang, Fan Dang, Peng Wang +3
Reading irregular scene text of arbitrary shape in natural images is still a challenging problem, despite the progress made recently. Many existing approaches incorporate sophistic…
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
Lei Zhang, Zhiqiang Lang, Peng Wang +4
Spectral super-resolution (SSR) aims at generating a hyperspectral image (HSI) from a given RGB image. Recently, a promising direction for SSR is to learn a complicated mapping fun…
RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei, Quan Cui, Lei Yang +2
Over recent years, emerging interest has occurred in integrating computer vision technology into the retail industry. Automatic checkout (ACO) is one of the critical problems in th…