4.7k citations · 10.6k across the 105 of their papers we have counts for
26 papers · 1 filter
Implicit Feature Pyramid Network for Object Detection
Tiancai Wang, Xiangyu Zhang, Jian Sun
In this paper, we present an implicit feature pyramid network (i-FPN) for object detection. Existing FPNs stack several cross-scale blocks to obtain large receptive field. We propo…
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Tiancai Wang, Tong Yang, Jiale Cao +1
Object detectors usually achieve promising results with the supervision of complete instance annotations. However, their performance is far from satisfactory with sparse instance a…
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein +2
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building…
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track
Zeming Li, Yuchen Ma, Yukang Chen +2
In this report, we present our object detection/instance segmentation system, MegDetV2, which works in a two-pass fashion, first to detect instances then to obtain segmentation. Ou…
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images
Zeyu Fu, Yang Sun, Xiangyu Zhang +5
Optical coherence tomography (OCT) is a commonly-used method of extracting high resolution retinal information. Moreover there is an increasing demand for the automated retinal lay…
Activate or Not: Learning Customized Activation
Ningning Ma, Xiangyu Zhang, Ming Liu +1
We present a simple, effective, and general activation function we term ACON which learns to activate the neurons or not. Interestingly, we find Swish, the recent popular NAS-searc…