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valhalla / valhalla

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Warnings section in response

nilsnolde
nilsnolde commented May 25, 2021

Would be nice to tell a user when certain things happen while processing, e.g. clamping values to their allowed maximum, enabling destination_only roads in 2. pass, deprecating request parameters etc.

IMO it should be a top-level warnings array of strings which is empty by default and all modules can add their share during processing: probably implement the most obvious ones first and add o

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enhancement good first issue
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amanchadha / iPerceive

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Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

python video transformers python3 pytorch lstm question-answering attention convolutional-neural-networks causality multi-modal reasoning captioning dense-captioning common-sense captioning-videos self-attention resnets videoqa distilling-the-knowledge
  • Updated May 3, 2021
  • Python

junchen14 / Multi-Modal-Transformer

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The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets. Additionally, it also collects many useful tutorials and tools in these related domains.

language multi-modal image-transformer vision-transformer video-language efficiency-transformer video-transformer mlp-mixer transformer-readling-list multi-modal-cvpr2021
  • Updated Aug 18, 2021

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