Single-model and any-modality for video object tracking
In the realm of video object tracking auxiliary modalities such as depth thermal or event data
have emerged as valuable assets to complement the RGB trackers. In practice most existing …
have emerged as valuable assets to complement the RGB trackers. In practice most existing …
The tenth visual object tracking vot2022 challenge results
Abstract The Visual Object Tracking challenge VOT2022 is the tenth annual tracker
benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; …
benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; …
Self-supervised surround-view depth estimation with volumetric feature fusion
We present a self-supervised depth estimation approach using a unified volumetric feature
fusion for surround-view images. Given a set of surround-view images, our method …
fusion for surround-view images. Given a set of surround-view images, our method …
[图书][B] Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part II
The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed
proceedings of 38 out of the 60 workshops held at the 17th European Conference on …
proceedings of 38 out of the 60 workshops held at the 17th European Conference on …
Depth Estimation using Weighted-loss and Transfer Learning
Depth estimation from 2D images is a common computer vision task that has applications in
many fields including autonomous vehicles, scene understanding and robotics. The …
many fields including autonomous vehicles, scene understanding and robotics. The …
[引用][C] 깊이정보를활용한자율주행에서의객체추적기술
전민구， 김성우 - 대한전자공학회학술대회, 2022 - dbpia.co.kr
Autonomous driving must ensure robustness to multivariate situations, so object tracking
must be used. However, it is difficult to apply it for autonomous vehicle due to its low …
must be used. However, it is difficult to apply it for autonomous vehicle due to its low …