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Video conferencing has become more common than ever due to the COVID-19 pandemic, which makes high-resolution video transmission a pressing issue. Although semantic video conferencing (SVC) has achieved a great success to improve the transmission efficiency by only transmitting some key-points to represent changed expressions, its performance can still be improved by adapting to varying channel scenarios, which is lack of study when designing the whole SVC in the end-to-end manner. In this paper, we first establish a standard SVC-OFDM system. Then, the receiver part of the SVC is added with an adaptive network called Switch-SVC for varying channels and improve the accuracy of the received keypoints. Some parameters in Switch-SVC are trained online so that the receiver can adapt to the current environment. Simulation results show that the proposed method can greatly improve the keypoint …