DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection

1 code implementation • 13 Dec 2023 • Ziqi Yuan, Liyuan Wang, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu

A commonly-used strategy for supervised IOD is to encourage the current model (as a student) to mimic the behavior of the old model (as a teacher), but it generally fails in SSIOD because a dominant number of object instances from old and new classes are coexisting and unlabelled, with the teacher only recognizing a fraction of them.

Object object-detection +1

WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels

1 code implementation • 23 Sep 2022 • Jianyong Ai, Wenbo Ding, Jiuhua Zhao, Jiachen Zhong

To the best of our knowledge, WS-3D-Lane is the first try of 3D lane detection under weakly supervised setting.

3D Lane Detection

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation

1 code implementation • 12 Jun 2022 • Chengyang Ying, You Qiaoben, Xinning Zhou, Hang Su, Wenbo Ding, Jianyong Ai

Among different adversarial noises, universal adversarial perturbations (UAP), i. e., a constant image-agnostic perturbation applied on every input frame of the agent, play a critical role in Embodied Vision Navigation since they are computation-efficient and application-practical during the attack.