Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors

By Joseph Tighe, Marc Niethammer, Svetlana Lazebnik. 2015

24 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. Luc Van Gool
2. Dacheng Tao
3. Trevor Darrell
4. Ming-Hsuan Yang
5. Bernt Schiele
6. Xiaogang Wang
7. Junwei Han
8. Jitendra Malik

Citations in the corpus

• The Cityscapes Dataset for Semantic Urban Scene Understanding (2016, methodology): “Following this line, [9, 37, 40, 63, 81] propose different approaches that combine the strengths of CNNs and Conditional Random Fields (CRFs).”
• The Cityscapes Dataset (2015, background): “, semantic [25] or holistic [7]) and in different application scenarios (e.”
• Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey (2018, background): “COD can be applied to computer vision tasks like scene parsing [12] and human action recognition [13].”