Search Results for author: Yiman Zhang

Found 5 papers, 1 papers with code

TinySAM: Pushing the Envelope for Efficient Segment Anything Model

2 code implementations21 Dec 2023 Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen

Extensive experiments on various zero-shot transfer tasks demonstrate the significantly advantageous performance of our TinySAM against counterpart methods.

Knowledge Distillation Quantization

Data-Free Knowledge Distillation for Image Super-Resolution

no code implementations CVPR 2021 Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang

Experiments on various datasets and architectures demonstrate that the proposed method is able to be utilized for effectively learning portable student networks without the original data, e. g., with 0. 16dB PSNR drop on Set5 for x2 super resolution.

Data-free Knowledge Distillation Image Super-Resolution +1

A Survey on Visual Transformer

no code implementations23 Dec 2020 Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, DaCheng Tao

Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism.

Image Classification Inductive Bias

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks

no code implementations16 Jul 2020 Xinghao Chen, Yiman Zhang, Yunhe Wang

To identify the redundancy in segmentation networks, we present a multi-task channel pruning approach.

Classification General Classification +3

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