Fetching the paper…
Reading the bibliography…
This paper presents a novel vision transformer (ViT) based deep joint source channel coding (DeepJSCC) scheme, dubbed DeepJSCC-l++, which can be adaptive to multiple target bandwidth ratios as well as different channel signal-to-noise ratios (SNRs) using a single model.
E. Bourtsoulatze, D. B. Kurka, and D. Gündüz, “Deep joint source-channel coding for wireless image transmission,” IEEE Trans. Cognitive Commun. Netw. , vol. 5, no. 3, pp. 567–579, 2019
2019
Earlier work this paper cites.
J. Xu, B. Ai, W. Chen, A. Yang, P. Sun, and M. Rodrigues, “Wireless image transmission using deep source channel coding with attention modules,” IEEE Trans. Circuits Syst. Video Technol , vol. 32, no. 4, pp. 2315–2328, 2021
2021
Earlier work this paper cites.
D. B. Kurka and D. Gündüz, “Bandwidth-agile image transmission with deep joint source-channel coding,” IEEE Trans. on Wireless Comm. , vol. 20, no. 12, pp. 8081–8095, 2021
2021
Earlier work this paper cites.
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo, “Swin transformer: Hierarchical vision transformer using shifted windows,” in ICCV , October 2021, pp. 10 012–10 022
2021
Earlier work this paper cites.
D. Alexey, B. Lucas, K. Alexander, W. Dirk, Z. Xiaohua, U. Thomas, D. Mostafa, M. Matthias, H. Georg, G. Sylvain, U. Jakob, and H. Neil, “An image is worth 16x16 words: Transformers for image recognition at scale,” in ICLR , 2021
2021
Earlier work this paper cites.
O. Rippel, A. G. Anderson, K. Tatwawadi, S. Nair, C. Lytle, and L. Bourdev, “Elf-vc: Efficient learned flexible-rate video coding,” in ICCV , October 2021
2021
Cited alongside, same era.
M. Yang, C. Bian, and H.-S. Kim, “ OFDM
2022
Cited alongside, same era.
H. Wu, Y. Shao, K. Mikolajczyk, and D. Gündüz, “Channel-adaptive wireless image transmission with OFDM,” IEEE Wireless Communications Letters , vol. 11, no. 11, pp. 2400–2404, 2022
2022
Cited alongside, same era.
2022
Cited alongside, same era.
2022
M. Yang and H.-S. Kim, “Deep joint source-channel coding for wireless image transmission with adaptive rate control,” in ICASSP , 2022
2022
Later among the works it cites.
J. Dai, S. Wang, K. Tan, Z. Si, X. Qin, K. Niu, and P. Zhang, “Nonlinear transform source-channel coding for semantic communications,” IEEE J. on Sel. Areas in Comm. , vol. 40, no. 8, pp. 2300–2316, 2022
2022
Later among the works it cites.
H. Wu, Y. Shao, C. Bian, K. Mikolajczyk, and D. Gündüz, “Vision transformer for adaptive image transmission over MIMO
2023
Closest in time.
W. Zhang, H. Zhang, H. Ma, H. Shao, N. Wang, and V. C. M. Leung, “Predictive and adaptive deep coding for wireless image transmission in semantic communication,” IEEE Trans. on Wireless Comm. , 2023
2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.