A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection
[article]
2022
arXiv
pre-print
Preserved Fulltext
Other Versions
To address this issue, we propose a novel framework, namely Contrastively Augmented Transformer for multi-modal 3D object Detection (CAT-Det). ...
In autonomous driving, LiDAR point-clouds and RGB images are two major data modalities with complementary cues for 3D object detection. ...
multi-modal 3D object Detection (CAT-Det). ...
arXiv:2204.00325v2
fatcat:cijmrrtrtjhnjl5ofjn3yhullm
3D Vision with Transformers: A Survey
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In computer vision, the 3D field has also witnessed an increase in employing the transformer for 3D convolution neural networks and multi-layer perceptron networks. ...
In this work, we present a systematic and thorough review of more than 100 transformers methods for different 3D vision tasks, including classification, segmentation, detection, completion, pose estimation ...
CAT-Det [89] combines a Pointformer applied on a point cloud with Imageformer applied on RGB images. ...
arXiv:2208.04309v1
fatcat:h7xk3hydevhwhatx5lil3ftnri
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
How should we integrate representations from complementary sensors for autonomous driving? Geometry-based fusion has shown promise for perception (e.g. object detection, motion forecasting). ...
Our approach uses transformer modules at multiple resolutions to fuse perspective view and bird's eye view feature maps. ...
3D object detection. ...
arXiv:2205.15997v1
fatcat:nyteapdbr5dqbadxliletwnzcy
Revision-Based Generation of Natural Language Summaries Providing Historical Background: Corpus-Based Analysis, Design, Implementation and Evaluation
2017
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This model requires a new type of linguistic knowledge: revision operations, which specify the various ways a draft can be transformed in order to concisely accommodate a new piece of information. ...
The second evaluation demonstrates that the revision operations acquired during the corpus analysis and implemented in STREAK are, for the most part, portable to at least one other quantitative domain ...
It is quite impressive that even usage of the revision tools involving the most complex transformations were detectable in the stock market corpus. ...
doi:10.7916/d83203zf
fatcat:nuk3xohy6nd3xgavmigfx2w7a4