214 citations · 851 across the 53 of their papers we have counts for
5 papers · 2 filters
Dense RepPoints: Representing Visual Objects with Dense Point Sets
Ze Yang, Yinghao Xu, Han Xue +5
We present a new object representation, called Dense RepPoints, that utilizes a large set of points to describe an object at multiple levels, including both box level and pixel lev…
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao, Jiarui Xu, Stephen Lin +2
The Non-Local Network (NLNet) presents a pioneering approach for capturing long-range dependencies, via aggregating query-specific global context to each query position. However, t…
Local Relation Networks for Image Recognition
Han Hu, Zheng Zhang, Zhenda Xie +1
The convolution layer has been the dominant feature extractor in computer vision for years. However, the spatial aggregation in convolution is basically a pattern matching process…
Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu, Yue Cao, Zheng Zhang +1
Recent progress in multiple object tracking (MOT) has shown that a robust similarity score is key to the success of trackers. A good similarity score is expected to reflect multipl…
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…