4 papers · 1 filter
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin, Zengyu Yang, Yongtao Wang
Unsupervised object discovery (UOD) has recently shown encouraging progress with the adoption of pre-trained Transformer features. However, current methods based on Transformers ma…
RepPoints: Point Set Representation for Object Detection
Ze Yang, Shaohui Liu, Han Hu +2
Modern object detectors rely heavily on rectangular bounding boxes, such as anchors, proposals and the final predictions, to represent objects at various recognition stages. The bo…
Learning to Navigate for Fine-grained Classification
Ze Yang, Tiange Luo, Dong Wang +3
Fine-grained classification is challenging due to the difficulty of finding discriminative features. Finding those subtle traits that fully characterize the object is not straightf…
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation
Liangfu Chen, Zeng Yang, Jianjun Ma +1
As the demand for enabling high-level autonomous driving has increased in recent years and visual perception is one of the critical features to enable fully autonomous driving, in…