( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.

, , , , , и . IV, стр. 424-431. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

August Löhdefink

Jürgen Löhdefink

Andreas Löhdefink

Eric Alexander Jonas

Asymmetrische Synthese planar- und zentral-chiraler 1,2,3-trisubstituierter und 1,3-disubstituierter Ferrocene. TU Aachen, (2007)

Rochus Jonas

 

Другие публикации лиц с тем же именем

Self-Supervised Domain Mismatch Estimation for Autonomous Perception., , , , , , и . CVPR Workshops, стр. 1359-1368. Computer Vision Foundation / IEEE, (2020)Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression., , , и . CVPR Workshops, стр. 1731-1736. IEEE, (2022)Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder., , , , , и . CVPR Workshops, стр. 4398-4407. IEEE, (2022)Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces., , , и . ITSC, стр. 1-8. IEEE, (2020)Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving., , и . ECCV Workshops (1), том 13801 из Lecture Notes in Computer Science, стр. 633-645. Springer, (2022)On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation., , , , , и . IV, стр. 424-431. IEEE, (2019)An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving., , , , , , , и . IV, стр. 644-651. IEEE, (2021)Focussing Learned Image Compression to Semantic Classes for V2X Applications., , , , , и . IV, стр. 1641-1648. IEEE, (2020)A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs., , , , , , , , и . CSCS, стр. 3:1-3:8. ACM, (2020)