Focal loss for dense object detection - Google Scholar Metrics

Articles citing Focal loss for dense object detection

Title / Author	Year
Yolov3: An incremental improvement J Redmon, A Farhadi arXiv preprint arXiv:1804.02767	2018
Learning transferable architectures for scalable image recognition B Zoph, V Vasudevan, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …	2018
Group normalization Y Wu, K He Proceedings of the European conference on computer vision (ECCV), 3-19	2018
Voxelnet: End-to-end learning for point cloud based 3d object detection Y Zhou, O Tuzel Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Frustum pointnets for 3d object detection from rgb-d data CR Qi, W Liu, C Wu, H Su, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …	2018
Cascade r-cnn: Delving into high quality object detection Z Cai, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …	2018
Cornernet: Detecting objects as paired keypoints H Law, J Deng Proceedings of the European Conference on Computer Vision (ECCV), 734-750	2018
Single-shot refinement neural network for object detection S Zhang, L Wen, X Bian, Z Lei, SZ Li Proceedings of the IEEE conference on computer vision and pattern …	2018
Path aggregation network for instance segmentation S Liu, L Qi, H Qin, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …	2018
Relation networks for object detection H Hu, J Gu, Z Zhang, J Dai, Y Wei Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Additive margin softmax for face verification F Wang, J Cheng, W Liu, H Liu IEEE Signal Processing Letters 25 (7), 926-930	2018
Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei International Conference on Machine Learning, 2304-2313	2018
Learning a discriminative feature network for semantic segmentation C Yu, J Wang, C Peng, C Gao, G Yu, N Sang Proceedings of the IEEE conference on computer vision and pattern …	2018
Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International journal of computer vision 128 (2), 261-318	2020
Learning to reweight examples for robust deep learning M Ren, W Zeng, B Yang, R Urtasun arXiv preprint arXiv:1803.09050	2018
Pixor: Real-time 3d object detection from point clouds B Yang, W Luo, R Urtasun Proceedings of the IEEE conference on Computer Vision and Pattern …	2018
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in Neural Information Processing Systems, 1640-1650	2018
Receptive field block net for accurate and fast object detection S Liu, D Huang Proceedings of the European Conference on Computer Vision (ECCV), 385-400	2018
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher, L Peng, D Tse, ... Nature medicine 25 (6), 954-961	2019
An analysis of scale invariance in object detection snip B Singh, LS Davis Proceedings of the IEEE conference on computer vision and pattern …	2018

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