Amshaker/SwiftFormer
[ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
Python
Stargazers
- 123456789asdfjklChina
- AbdelrahmanShakerYousef
- abdohelmy
- albzni
- aliman80MBZUAI
- Amshaker
- AnasEmad11
- baitianyu-kunXidian University
- CharlesLayn
- cschenxiangNJUST
- CSer-Tang-haoThe Hong Kong Polytechnic University
- fadamsyahMBZUAI
- fanke123bjtu
- fly51flyPRIS
- hanoonaRMBZUAI
- HashmatShadabSrinagar
- hyaihjq
- iamwilliamli
- JacobFV@marissa-and-jacob-consulting
- janicevidal
- Joyies
- kvsnoufalDubai Holding
- lartpangDUT
- LegendBCHuazhong Uni. of Sci. and Tec.
- liujingcsMonash University
- MahmoudTamamAlexandria, Egypt
- MARD1NOSiliconFlow
- MI-swaco
- michalwolsNew York
- mmaaz60@mbzuai
- muzairkhattakEPFL
- rentainheIDEA
- ShahinaKK
- VIROBO-15The John Hopkins University
- xmu-xiaoma666Xiamen University
- zainmujahidMohamed Bin Zayed University of Artificial Intelligence