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ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
At present two classes of attentions prevail in vision transformers, regional and sparse attention.
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
The surge in prompt-based learning within Natural Language Processing (NLP) suggests the potential of adapting a "pre-train, prompt" paradigm to graphs as an alternative.
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering
Efficient photorealistic rendering of human 3D dynamics is the core of immersive meetings.
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