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08/24/2023
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
Semantic segmentation is a computer vision task that associates a label ...
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05/21/2023
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
Vision transformers (ViTs) quantization offers a promising prospect to f...
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12/20/2022
Redistribution of Weights and Activations for AdderNet Quantization
Adder Neural Network (AdderNet) provides a new way for developing energy...
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07/31/2021
Greedy Network Enlarging
Recent studies on deep convolutional neural networks present a simple pa...
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02/03/2020
Widening and Squeezing: Towards Accurate and Efficient QNNs
Quantization neural networks (QNNs) are very attractive to the industry ...
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07/27/2019
Learning Instance-wise Sparsity for Accelerating Deep Models
Exploring deep convolutional neural networks of high efficiency and low ...
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07/27/2019
Attribute Aware Pooling for Pedestrian Attribute Recognition
This paper expands the strength of deep convolutional neural networks (C...
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04/02/2019
