NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition

no code implementations • 29 Jun 2023 • Zichang Tan, Jun Li, Jinhao Du, Jun Wan, Zhen Lei, Guodong Guo

To achieve the collaborative learning in long-tailed learning, the balanced online distillation is proposed to force the consistent predictions among different experts and augmented copies, which reduces the learning uncertainties.

Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

1 code implementation • 17 May 2023 • Jiang-Tian Zhai, Ze Feng, Jinhao Du, Yongqiang Mao, Jiang-Jiang Liu, Zichang Tan, Yifu Zhang, Xiaoqing Ye, Jingdong Wang

Modern autonomous driving systems are typically divided into three main tasks: perception, prediction, and planning.

Autonomous Driving Trajectory Planning

s-Adaptive Decoupled Prototype for Few-Shot Object Detection

no code implementations • ICCV 2023 • Jinhao Du, Shan Zhang, Qiang Chen, Haifeng Le, Yanpeng Sun, Yao Ni, Jian Wang, Bin He, Jingdong Wang

To provide precise information for the query image, the prototype is decoupled into task-specific ones, which provide tailored guidance for 'where to look' and 'what to look for', respectively.

Few-Shot Object Detection Meta-Learning +3

Interactive Image Inpainting Using Semantic Guidance

1 code implementation • 26 Jan 2022 • Wangbo Yu, Jinhao Du, Ruixin Liu, Yixuan Li, Yuesheng Zhu

Image inpainting approaches have achieved significant progress with the help of deep neural networks.

Image Inpainting