131 citations · 349 across the 18 of their papers we have counts for
4 papers · 1 filter
Computation Reallocation for Object Detection
Feng Liang, Chen Lin, Ronghao Guo +4
The allocation of computation resources in the backbone is a crucial issue in object detection. However, classification allocation pattern is usually adopted directly to object det…
Improving One-shot NAS by Suppressing the Posterior Fading
Xiang Li, Chen Lin, Chuming Li +4
There is a growing interest in automated neural architecture search (NAS). To improve the efficiency of NAS, previous approaches adopt weight sharing method to force all models sha…
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Junran Peng, Ming Sun, Zhaoxiang Zhang +2
Recently, Neural Architecture Search has achieved great success in large-scale image classification. In contrast, there have been limited works focusing on architecture search for…
POD: Practical Object Detection with Scale-Sensitive Network
Junran Peng, Ming Sun, Zhaoxiang Zhang +2
Scale-sensitive object detection remains a challenging task, where most of the existing methods could not learn it explicitly and are not robust to scale variance. In addition, the…