Search Results for author: Alexey Bochkovskiy

Found 5 papers, 5 papers with code

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

16 code implementations CVPR 2023 Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56. 8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.

Object Real-Time Object Detection +1

Non-deep Networks

4 code implementations14 Oct 2021 Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun

This begs the question -- is it possible to build high-performing "non-deep" neural networks?

Image Classification Real-Time Object Detection

Vision Transformers for Dense Prediction

15 code implementations ICCV 2021 René Ranftl, Alexey Bochkovskiy, Vladlen Koltun

We introduce dense vision transformers, an architecture that leverages vision transformers in place of convolutional networks as a backbone for dense prediction tasks.

Monocular Depth Estimation Semantic Segmentation

Scaled-YOLOv4: Scaling Cross Stage Partial Network

42 code implementations CVPR 2021 Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao

We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy.

Real-Time Object Detection

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