Yolov4: Optimal speed and accuracy of object detection A Bochkovskiy, CY Wang, HYM Liao arXiv preprint arXiv:2004.10934, 2020 | 21015 | 2020 |
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors CY Wang, A Bochkovskiy, HYM Liao Computer Vision and Pattern Recognition (CVPR 2023), 2022 | 10663 | 2022 |
Vision transformers for dense prediction R Ranftl, A Bochkovskiy, V Koltun International Conference on Computer Vision (ICCV 2021), 2021 | 2151 | 2021 |
Scaled-YOLOv4: Scaling Cross Stage Partial Network CY Wang, A Bochkovskiy, HYM Liao Computer Vision and Pattern Recognition (CVPR 2021), 2020 | 2011 | 2020 |
Non-deep networks A Goyal, A Bochkovskiy, J Deng, V Koltun Neural Information Processing Systems (NeurIPS 2022), 2021 | 104 | 2021 |
Depth pro: Sharp monocular metric depth in less than a second A Bochkovskii, A Delaunoy, H Germain, M Santos, Y Zhou, SR Richter, ... International Conference on Learning Representations (ICLR 2025), 2024 | 54 | 2024 |
Methods and apparatus to perform dense prediction using transformer blocks R Ranftl, A Bochkovskiy, V Koltun US Patent App. 17/485,349, 2022 | 4 | 2022 |