6 citations · 24 across the 12 of their papers we have counts for
4 papers · 1 filter
EdgeYOLO: An Edge-Real-Time Object Detector
Shihan Liu, Junlin Zha, Jian Sun +2
This paper proposes an efficient, low-complexity and anchor-free object detector based on the state-of-the-art YOLO framework, which can be implemented in real time on edge computi…
Differentiable Architecture Search with Random Features
Xuanyang Zhang, Yonggang Li, Xiangyu Zhang +2
Differentiable architecture search (DARTS) has significantly promoted the development of NAS techniques because of its high search efficiency and effectiveness but suffers from per…
StreamYOLO: Real-time Object Detection for Streaming Perception
Jinrong Yang, Songtao Liu, Zeming Li +2
The perceptive models of autonomous driving require fast inference within a low latency for safety. While existing works ignore the inevitable environmental changes after processin…
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Hongyu Zhou, Zheng Ge, Songtao Liu +4
To date, the most powerful semi-supervised object detectors (SS-OD) are based on pseudo-boxes, which need a sequence of post-processing with fine-tuned hyper-parameters. In this wo…