168 citations · 223 across the 5 of their papers we have counts for
5 papers · 1 filter
CenterNet++ for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie +3
There are two mainstreams for object detection: top-down and bottom-up. The state-of-the-art approaches mostly belong to the first category. In this paper, we demonstrate that the…
Location-Sensitive Visual Recognition with Cross-IOU Loss
Kaiwen Duan, Lingxi Xie, Honggang Qi +3
Object detection, instance segmentation, and pose estimation are popular visual recognition tasks which require localizing the object by internal or boundary landmarks. This paper…
Corner Proposal Network for Anchor-free, Two-stage Object Detection
Kaiwen Duan, Lingxi Xie, Honggang Qi +3
The goal of object detection is to determine the class and location of objects in an image. This paper proposes a novel anchor-free, two-stage framework which first extracts a numb…
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie +3
In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regio…
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dawei Du, Yuankai Qi, Hongyang Yu +6
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience…