1 citations · 1 across the 5 of their papers we have counts for
5 papers
GOOD: Towards Domain Generalized Orientated Object Detection
Qi Bi, Beichen Zhou, Jingjun Yi +3
Oriented object detection has been rapidly developed in the past few years, but most of these methods assume the training and testing images are under the same statistical distribu…
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
Qi Bi, Wei Ji, Jingjun Yi +2
High-quality annotation of fine-grained visual categories demands great expert knowledge, which is taxing and time consuming. Alternatively, learning fine-grained visual representa…
Attention Awareness Multiple Instance Neural Network
Jingjun Yi, Beichen Zhou
Multiple instance learning is qualified for many pattern recognition tasks with weakly annotated data. The combination of artificial neural network and multiple instance learning o…
Learning Instance Representation Banks for Aerial Scene Classification
Jingjun Yi, Beichen Zhou
Aerial scenes are more complicated in terms of object distribution and spatial arrangement than natural scenes due to the bird view, and thus remain challenging to learn discrimina…
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification
Jingjun Yi, Beichen Zhou
Existing deep learning based methods effectively prompt the performance of aerial scene classification. However, due to the large amount of parameters and computational cost, it is…