BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers

Keywords

Computer scienceArtificial intelligenceComputer visionGridPerceptionSegmentationExploit

Affiliated Institutions

Related Publications

Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model

Spyros Gidaris , Nikos Komodakis

We propose an object detection system that relies on a multi-region deep convolutional neural network (CNN) that also encodes semantic segmentation-aware features. The resulting...

2015 799 citations

Learning RoI Transformer for Oriented Object Detection in Aerial Images

Jian Ding , Nan Xue , Yang Long +2 more

Object detection in aerial images is an active yet challenging task in computer vision because of the bird’s-eye view perspective, the highly complex backgrounds, and the varian...

2019 1367 citations

Hypercolumns for object segmentation and fine-grained localization

Bharath Hariharan , Pablo Arbeláez , Ross Girshick +1 more

Recognition algorithms based on convolutional networks (CNNs) typically use the output of the last layer as a feature representation. However, the information in this layer may ...

2015 1577 citations

Convolutional feature masking for joint object and stuff segmentation

Jifeng Dai , Kaiming He , Jian Sun

The topic of semantic segmentation has witnessed considerable progress due to the powerful features learned by convolutional neural networks (CNNs). The current leading approach...

2015 466 citations

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen , George Papandreou , Iasonas Kokkinos +2 more

In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical ...

2017 IEEE Transactions on Pattern Analysis... 20855 citations

Publication Info

Year: 2022
Type: book-chapter
Pages: 1-18
Citations: 1008
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1008

OpenAlex

Cite This

APA Style

                            
                                    Zhiqi Li, 
                                
                                    Wenhai Wang, 
                                
                                    Hongyang Li
                                
                                et al.
                            
                            (2022). 
                            BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers. 
                            Lecture notes in computer science
                            
                            , 1-18.
                            https://doi.org/10.1007/978-3-031-20077-9_1

Identifiers

DOI: 10.1007/978-3-031-20077-9_1