Chuanjian Liu | DeepAI

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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 ...

0 Yuhe Liu, et al. ∙

∙ 05/21/2023

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

Vision transformers (ViTs) quantization offers a promising prospect to f...

0 Yanjing Li, et al. ∙

∙ 12/20/2022

Redistribution of Weights and Activations for AdderNet Quantization

Adder Neural Network (AdderNet) provides a new way for developing energy...

0 Ying Nie, et al. ∙

∙ 07/31/2021

Greedy Network Enlarging

Recent studies on deep convolutional neural networks present a simple pa...

10 Chuanjian Liu, et al. ∙

∙ 02/03/2020

Widening and Squeezing: Towards Accurate and Efficient QNNs

Quantization neural networks (QNNs) are very attractive to the industry ...

0 Chuanjian Liu, et al. ∙

∙ 07/27/2019

Learning Instance-wise Sparsity for Accelerating Deep Models

Exploring deep convolutional neural networks of high efficiency and low ...

5 Chuanjian Liu, et al. ∙

∙ 07/27/2019

Attribute Aware Pooling for Pedestrian Attribute Recognition

This paper expands the strength of deep convolutional neural networks (C...

3 Kai Han, et al. ∙

∙ 04/02/2019

Data-Free Learning of Student Networks

Learning portable neural networks is very essential for computer vision ...

10 Hanting Chen, et al. ∙

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