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Found 2 papers, 1 papers with code
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
The proposed PaCa module is used in designing efficient and interpretable ViT backbones and semantic segmentation head networks.
Joint Video and Text Parsing for Understanding Events and Answering Queries
We present a probabilistic generative model for joint parsing that captures the relations between the input video/text, their corresponding parse graphs and the joint parse graph.
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