Our team from CVL won the long-term action anticipation Ego4D challenge at CVPR'23!
The proposed method Palm uses large language models to predict action sequences in long-time horizons and wins first place in this year's challenge.
The detailed report and code can be found on the project page: external pagehttps://eth-ait.github.io/palm/.