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08/08/2023
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
In this work, we propose a new transformer-based regularization to bette...
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07/27/2023
Scaling TransNormer to 175 Billion Parameters
We present TransNormerLLM, the first linear attention-based Large Langua...
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07/18/2023
Linearized Relative Positional Encoding
Relative positional encoding is widely used in vanilla and linear transf...
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05/25/2023
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
Composed image retrieval aims to find an image that best matches a given...
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05/08/2023
Toeplitz Neural Network for Sequence Modeling
Sequence modeling has important applications in natural language process...
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05/02/2023
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
The Segment Anything Model (SAM) has demonstrated exceptional performanc...
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03/29/2023
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Composed image retrieval searches for a target image based on a multi-mo...
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03/20/2023
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
Self-supervised audio-visual source localization aims to locate sound-so...
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10/19/2022
The Devil in Linear Transformer
Linear transformers aim to reduce the quadratic space-time complexity of...
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10/15/2022
Linear Video Transformer with Feature Fixation
Vision Transformers have achieved impressive performance in video classi...
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07/28/2022
Neural Architecture Search on Efficient Transformers and Beyond
Recently, numerous efficient Transformers have been proposed to reduce t...
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06/21/2022
Vicinity Vision Transformer
Vision transformers have shown great success on numerous computer vision...
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02/17/2022
cosFormer: Rethinking Softmax in Attention
Transformer has shown great successes in natural language processing, co...
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12/01/2020