3260 papers • 126 benchmarks • 313 datasets
Find objects in photorealistic environments by requesting and executing language subgoals.
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These leaderboards are used to track progress in vnla-16
No benchmarks available.
Use these libraries to find vnla-16 models and implementations
No datasets available.
No subtasks available.
To model language-based assistance, a general framework termed Imitation Learning with Indirect Intervention (I3L) is developed, and a solution that is effective on the VNLA task is proposed that significantly improves the success rate of the learning agent over other baselines on both seen and unseen environments.
Adding a benchmark result helps the community track progress.