22k citations · 25.7k across the 25 of their papers we have counts for
5 papers · 1 filter
Piecewise Linear Activation Functions For More Efficient Deep Networks
Cheng-Yang Fu, Alexander C. Berg
This submission has been withdrawn by arXiv administrators because it is intentionally incomplete, which is in violation of our policies.
SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan +4
We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of defaul…
Learning to decompose for object detection and instance segmentation
Eunbyung Park, Alexander C. Berg
Although deep convolutional neural networks(CNNs) have achieved remarkable results on object detection and segmentation, pre- and post-processing steps such as region proposals and…
ParseNet: Looking Wider to See Better
Wei Liu, Andrew Rabinovich, Alexander C. Berg
We present a technique for adding global context to deep convolutional networks for semantic segmentation. The approach is simple, using the average feature for a layer to augment…
Visual Madlibs: Fill in the blank Image Generation and Question Answering
Licheng Yu, Eunbyung Park, Alexander C. Berg +1
In this paper, we introduce a new dataset consisting of 360,001 focused natural language descriptions for 10,738 images. This dataset, the Visual Madlibs dataset, is collected usin…