Object Detection

By Yali Amit, Pedro F. Felzenszwalb. 2020

596 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Weiwei Jiang
2. Sorin Mihai Grigorescu
3. Tiberiu T. Cocias
4. Gigel Macesanu
5. Bogdan Trasnea

Citations in the corpus

• A survey of deep learning techniques for autonomous driving (2019, background): “Semantic segmentation networks, like SegNet (Badrinarayanan et al., 2017), ICNet (H. Zhao et al., 2018), ENet (Paszke, Chaurasia, Kim, & Culurciello, 2016), AdapNet (Valada, Vertens, Dhall, & Burgard, 2017), or Mask RCNN (He et al., 2017), are mainly encoder–decoder architectures with a pixelwise…”
• Applications of deep learning in stock market prediction: recent progress (2020, methodology): “Powered by the collection of big data from the Web, the parallel processing ability of graphics processing units (GPUs), and the new convolutional neural network family, deep learning has achieved a tremendous success in the past few years, for many different applications including image classificat”