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05/04/2022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Recently, self-attention mechanisms have shown impressive performance in...
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05/04/2022
Dynamic Sparse R-CNN
Sparse R-CNN is a recent strong object detection baseline by set predict...
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08/07/2021
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
In this work, we address the problem of unsupervised domain adaptation f...
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03/21/2021
Cross-Dataset Collaborative Learning for Semantic Segmentation
Recent work attempts to improve semantic segmentation performance by exp...
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02/20/2019
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
The convolutional neural network (CNN) has become a state-of-the-art met...
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01/13/2015