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Found 4 papers, 1 papers with code
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data
Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly.
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly.
Pushing the Limits of Non-Autoregressive Speech Recognition
We combine recent advancements in end-to-end speech recognition to non-autoregressive automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Understanding Guided Image Captioning Performance across Domains
Image captioning models generally lack the capability to take into account user interest, and usually default to global descriptions that try to balance readability, informativeness, and information overload.
