Comments (1)
Hi there. For certain tasks only supplying top-down view might be suboptimal, such as Follow Order
where one object is stacked on another. Additionally, due to legacy reason, we used to have tasks where frontal view is necessary to provide enough information for reasoning.
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Related Issues (20)
- [Evaluation] How to get the result reported in the paper
- [Test] The test result is not consistent with that reported in paper. HOT 11
- Question of the object encoding and training details HOT 1
- Request for Training Code and Clarification on Parallelization & Batch Size HOT 1
- Request for Guidance on Implementing imitation_loss HOT 3
- Question: how to specific state or restore the state of the environment?
- RuntimeError: Failed to reset environment after 10 retries HOT 3
- Exception: Model "t5-base" on the Hub doesn't have a tokenizer HOT 4
- The inference process of the VIMA strongly relies on the images in the prompts and objects in the environment HOT 1
- Franka in Isaac-sim HOT 1
- The order of object token is always same
- ImportError: cannot import name 'checkpoint' from 'transformers.models.t5.modeling_t5' HOT 15
- Asking for better explanation HOT 2
- Action dim not match HOT 2
- How to eval the baseline? HOT 1
- Implementation details of the loss scaling algorithm HOT 1
- Invalid GLX version: major 1, minor 2 HOT 1
- Metrics related to evaluating the models.
- How is the current inference frequency? Did someone try it on real world experiment?
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