Action Recognition in Still Images With Minimum Annotation Efforts

By Yu Zhang, Li Cheng, Jianxin Wu, Jianfei Cai, Minh N. Do, Jiangbo Lu. 2016

84 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. G. Wang
2. Jianfei Cai
3. Yu Qiao
4. Luc Van Gool
5. Dacheng Tao
6. Ming-Hsuan Yang
7. Limin Wang
8. Andrew Zisserman

Citations in the corpus

• Recent advances in convolutional neural networks (2015, methodology): “In [263], they propose a method that segments out the action mask of underlying human-object interactions with minimum annotation efforts.”
• Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs (2016, background): “cture [12], but also yields meaningful context that facilitates other related vision tasks, such as object detection [13], [14], [15], event recognition [16], [17], [18], and action recognition [19], [20], [21]. In general, it is assumed that scene is composed of specific objects arranged in a certai”