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Structured pruning for deep convolutional neural networks: A survey
Y He, L **: Distilling clip-based models with a student base for video-language retrieval
Pre-training a vison-language model and then fine-tuning it on downstream tasks have
become a popular paradigm. However, pre-trained vison-language models with the …
become a popular paradigm. However, pre-trained vison-language models with the …
Ppt: token-pruned pose transformer for monocular and multi-view human pose estimation
Recently, the vision transformer and its variants have played an increasingly important role
in both monocular and multi-view human pose estimation. Considering image patches as …
in both monocular and multi-view human pose estimation. Considering image patches as …
A survey on transformer compression
Transformer plays a vital role in the realms of natural language processing (NLP) and
computer vision (CV), specially for constructing large language models (LLM) and large …
computer vision (CV), specially for constructing large language models (LLM) and large …
Masked autoencoders enable efficient knowledge distillers
This paper studies the potential of distilling knowledge from pre-trained models, especially
Masked Autoencoders. Our approach is simple: in addition to optimizing the pixel …
Masked Autoencoders. Our approach is simple: in addition to optimizing the pixel …