Forest r-cnn: Large-vocabulary long-tailed object detection and instance segmentation

J Wu, L Song, T Wang, Q Zhang, J Yuan - Proceedings of the 28th ACM …, 2020 - dl.acm.org
Despite the previous success of object analysis, detecting and segmenting a large number
of object categories with a long-tailed data distribution remains a challenging problem and is …
被引用次数：71 相关文章
[PDF] buffalo.edu

[PDF][PDF] Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

J Wu, L Song, T Wang, Q Zhang, J Yuan - 2020 - cse.buffalo.edu
Despite the previous success of object analysis, detecting and segmenting a large number
of object categories with a long-tailed data distribution remains a challenging problem and is …
[PDF] researchgate.net

[PDF][PDF] Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

J Wu, L Song, T Wang, Q Zhang, J Yuan - 2020 - researchgate.net
Despite the previous success of object analysis, detecting and segmenting a large number
of object categories with a long-tailed data distribution remains a challenging problem and is …

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

J Wu, L Song, T Wang, Q Zhang, J Yuan - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Despite the previous success of object analysis, detecting and segmenting a large number
of object categories with a long-tailed data distribution remains a challenging problem and is …

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

J Wu, L Song, T Wang, Q Zhang, J Yuan - arXiv preprint arXiv:2008.05676, 2020 - arxiv.org
Despite the previous success of object analysis, detecting and segmenting a large number
of object categories with a long-tailed data distribution remains a challenging problem and is …