7 citations · 7 across the 4 of their papers we have counts for
4 papers
CrossKD: Cross-Head Knowledge Distillation for Object Detection
Jiabao Wang, Yuming Chen, Zhaohui Zheng +3
Knowledge Distillation (KD) has been validated as an effective model compression technique for learning compact object detectors. Existing state-of-the-art KD methods for object de…
Towards Spatial Equilibrium Object Detection
Zhaohui Zheng, Yuming Chen, Qibin Hou +2
Semantic objects are unevenly distributed over images. In this paper, we study the spatial disequilibrium problem of modern object detectors and propose to quantify this ``spatial…
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation
Gang Li, Xiang Li, Yujie Wang +3
Knowledge Distillation (KD) is a widely-used technology to inherit information from cumbersome teacher models to compact student models, consequently realizing model compression an…
Object Detection in the Context of Mobile Augmented Reality
Xiang Li, Yuan Tian, Fuyao Zhang +2
In the past few years, numerous Deep Neural Network (DNN) models and frameworks have been developed to tackle the problem of real-time object detection from RGB images. Ordinary ob…