Search Results for author: Kate Rakelly

Found 6 papers, 5 papers with code

MELD: Meta-Reinforcement Learning from Images via Latent State Models

1 code implementation26 Oct 2020 Tony Z. Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine

Meta-reinforcement learning algorithms can enable autonomous agents, such as robots, to quickly acquire new behaviors by leveraging prior experience in a set of related training tasks.

Meta-Learning Meta Reinforcement Learning +1

Few-Shot Segmentation Propagation with Guided Networks

1 code implementation25 May 2018 Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alexei A. Efros, Sergey Levine

Learning-based methods for visual segmentation have made progress on particular types of segmentation tasks, but are limited by the necessary supervision, the narrow definitions of fixed tasks, and the lack of control during inference for correcting errors.

Interactive Segmentation Semantic Segmentation +2

Clockwork Convnets for Video Semantic Segmentation

1 code implementation11 Aug 2016 Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

Recent years have seen tremendous progress in still-image segmentation; however the na\"ive application of these state-of-the-art algorithms to every video frame requires considerable computation and ignores the temporal continuity inherent in video.

Semantic Segmentation Video Recognition +1

A Century of Portraits: A Visual Historical Record of American High School Yearbooks

2 code implementations9 Nov 2015 Shiry Ginosar, Kate Rakelly, Sarah Sachs, Brian Yin, Crystal Lee, Philipp Krahenbuhl, Alexei A. Efros

4) A new method for discovering and displaying the visual elements used by the CNN-based date-prediction model to date portraits, finding that they correspond to the tell-tale fashions of each era.

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