481 citations · 1.1k across the 27 of their papers we have counts for
4 papers · 1 filter
RON: Reverse Connection with Objectness Prior Networks for Object Detection
Tao Kong, Fuchun Sun, Anbang Yao +3
We present RON, an efficient and effective framework for generic object detection. Our motivation is to smartly associate the best of the region-based (e.g., Faster R-CNN) and regi…
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Hao Zhao, Ming Lu, Anbang Yao +3
In this paper, we propose an alternative method to estimate room layouts of cluttered indoor scenes. This method enjoys the benefits of two novel techniques. The first one is seman…
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo, Anbang Yao, Hao Zhao +1
Convolutional neural networks (CNNs) with deep architectures have substantially advanced the state-of-the-art in computer vision tasks. However, deep networks are typically resourc…
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou, Anbang Yao, Yiwen Guo +2
This paper presents incremental network quantization (INQ), a novel method, targeting to efficiently convert any pre-trained full-precision convolutional neural network (CNN) model…