25 citations · 58 across the 6 of their papers we have counts for
9 papers
Interpretable Foreground Object Search As Knowledge Distillation
Boren Li, Po-Yu Zhuang, Jian Gu +2
This paper proposes a knowledge distillation method for foreground object search (FoS). Given a background and a rectangle specifying the foreground location and scale, FoS retriev…
SEKD: Self-Evolving Keypoint Detection and Description
Yafei Song, Ling Cai, Jia Li +2
Researchers have attempted utilizing deep neural network (DNN) to learn novel local features from images inspired by its recent successes on a variety of vision tasks. However, exi…
Accelerating Neural Network Inference by Overflow Aware Quantization
Hongwei Xie, Shuo Zhang, Huanghao Ding +5
The inherent heavy computation of deep neural networks prevents their widespread applications. A widely used method for accelerating model inference is quantization, by replacing t…
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Yongjian Chen, Lei Tai, Kai Sun +1
Monocular 3D object detection is an essential component in autonomous driving while challenging to solve, especially for those occluded samples which are only partially visible. Mo…
LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices
Hongwei Xie, Jiafang Wang, Baitao Shao +2
Online hand gesture recognition (HGR) techniques are essential in augmented reality (AR) applications for enabling natural human-to-computer interaction and communication. In recen…
Sem-LSD: A Learning-based Semantic Line Segment Detector
Yi Sun, Xushen Han, Kai Sun +3
In this paper, we introduces a new type of line-shaped image representation, named semantic line segment (Sem-LS) and focus on solving its detection problem. Sem-LS contains high-l…