activity
20222024
most citedActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.CV2023

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

Yichen Xie, Han Lu, Junchi Yan +3

Given the large-scale data and the high annotation cost, pretraining-finetuning becomes a popular paradigm in multiple computer vision tasks. Previous research has covered both the…