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04/12/2023
Filler Word Detection with Hard Category Mining and Inter-Category Focal Loss
Filler words like “um" or “uh" are common in spontaneous speech. It is d...
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03/30/2023
Streaming Video Model
Video understanding tasks have traditionally been modeled by two separat...
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12/13/2022
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
Exploring dense matching between the current frame and past frames for l...
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09/15/2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
This paper presents OmniVL, a new foundation model to support both image...
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06/28/2022
RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion
This paper proposes a new "decompose-and-edit" paradigm for the text-bas...
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06/14/2022
Peripheral Vision Transformer
Human vision possesses a special type of visual processing systems calle...
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01/26/2022
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
Attention mechanism has been widely believed as the key to success of vi...
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09/12/2021
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
Given a piece of speech and its transcript text, text-based speech editi...
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09/12/2021
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
Transformers have sprung up in the field of computer vision. In this wor...
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08/30/2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Convolutional neural networks (CNN) are the dominant deep neural network...
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08/18/2021
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Advanced self-supervised visual representation learning methods rely on ...
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04/15/2021
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks
Deep convolutional neural networks (CNN) have achieved astonishing resul...
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02/03/2021