An Empirical Study of Spatial Attention Mechanisms in Deep Networks

1 code implementation • ICCV 2019 • Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai

Attention mechanisms have become a popular component in deep neural networks, yet there has been little examination of how different influencing factors and methods for computing attention from these factors affect performance.

MMDetection: Open MMLab Detection Toolbox and Benchmark

144 code implementations • 17 Jun 2019 • Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

In this paper, we introduce the various features of this toolbox.

Benchmarking Instance Segmentation +2

ExFuse: Enhancing Feature Fusion for Semantic Segmentation

no code implementations • ECCV 2018 • Zhenli Zhang, Xiangyu Zhang, Chao Peng, Dazhi Cheng, Jian Sun

Modern semantic segmentation frameworks usually combine low-level and high-level features from pre-trained backbone convolutional models to boost performance.

Segmentation Semantic Segmentation

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection

no code implementations • 27 Nov 2018 • Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai

Accurate detection and tracking of objects is vital for effective video understanding.

Object object-detection +2