activity
20212023
most citedDER: Dynamically Expandable Representation for Class Incremental Learning

42 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Xiaosong Jia, Penghao Wu, Li Chen +4

End-to-end autonomous driving has made impressive progress in recent years. Existing methods usually adopt the decoupled encoder-decoder paradigm, where the encoder extracts hidden…

cs.CV2023★ 2 cited

3D Data Augmentation for Driving Scenes on Camera

Wenwen Tong, Jiangwei Xie, Tianyu Li +7

Driving scenes are extremely diverse and complicated that it is impossible to collect all cases with human effort alone. While data augmentation is an effective technique to enrich…

cs.CV2022★ 4 cited

General Incremental Learning with Domain-aware Categorical Representations

Jiangwei Xie, Shipeng Yan, Xuming He

Continual learning is an important problem for achieving human-level intelligence in real-world applications as an agent must continuously accumulate knowledge in response to strea…

cs.CV2021★ 1 cited

An EM Framework for Online Incremental Learning of Semantic Segmentation

Shipeng Yan, Jiale Zhou, Jiangwei Xie +2

Incremental learning of semantic segmentation has emerged as a promising strategy for visual scene interpretation in the open- world setting. However, it remains challenging to acq…

cs.CV2021★ 42 cited

DER: Dynamically Expandable Representation for Class Incremental Learning

Shipeng Yan, Jiangwei Xie, Xuming He

We address the problem of class incremental learning, which is a core step towards achieving adaptive vision intelligence. In particular, we consider the task setting of incrementa…