Methods > Computer Vision > Object Detection Models

CenterNet

Introduced by Duan et al. in CenterNet: Keypoint Triplets for Object Detection

CenterNet is a one-stage object detector that detects each object as a triplet, rather than a pair, of keypoints. It utilizes two customized modules named cascade corner pooling and center pooling, which play the roles of enriching information collected by both top-left and bottom-right corners and providing more recognizable information at the central regions, respectively. The intuition is that, if a predicted bounding box has a high IoU with the ground-truth box, then the probability that the center keypoint in its central region is predicted as the same class is high, and vice versa. Thus, during inference, after a proposal is generated as a pair of corner keypoints, we determine if the proposal is indeed an object by checking if there is a center keypoint of the same class falling within its central region.

Source: CenterNet: Keypoint Triplets for Object Detection

Latest Papers

PAPER DATE
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination
Jian DaiShuge LeiLicong DongXiaona LinHuabin ZhangDesheng SunKehong Yuan
2021-01-07
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
Anonymous
2021-01-01
SyNet: An Ensemble Network for Object Detection in UAV Images
| Berat Mert AlbabaSedat Ozer
2020-12-23
Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection
| Tobias ScheckAna Perez GrassiGangolf Hirtz
2020-12-15
Efficient grouping for keypoint detection
Alexey SidnevEkaterina KrasikovaMaxim Kazakov
2020-10-23
DPAttack: Diffused Patch Attacks against Universal Object Detection
Shudeng WuTao DaiShu-Tao Xia
2020-10-16
Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses
Byeonghyeop YuJohyun ShinGyeongjun KimSeungbin RohKeemin Sohn
2020-10-05
Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis
Vishal MandalYaw Adu-Gyamfi
2020-07-31
DeepMark++: Real-time Clothing Detection at the Edge
Alexey SidnevAlexander KrapivinAlexey TrushkovEkaterina KrasikovaMaxim KazakovMikhail Viryasov
2020-06-01
Deep Active Learning for Remote Sensing Object Detection
Zhenshen QuJingda DuYong CaoQiuyu GuanPengbo Zhao
2020-03-17
DeepMark: One-Shot Clothing Detection
Alexey SidnevAlexey TrushkovMaxim KazakovIvan KorolevVladislav Sorokin
2019-10-02
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval
Cheng Xu Zhaoqun Li Qiang Qiu Biao Leng Jingfei Jiang
2019-10-01
Object detection on aerial imagery using CenterNet
| Dheeraj Reddy PaillaVarghese KollerathuSai Saketh Chennamsetty
2019-08-22
Deep High-Resolution Representation Learning for Visual Recognition
| Jingdong WangKe SunTianheng ChengBorui JiangChaorui DengYang ZhaoDong LiuYadong MuMingkui TanXinggang WangWenyu LiuBin Xiao
2019-08-20
CenterNet: Keypoint Triplets for Object Detection
| Kaiwen DuanSong BaiLingxi XieHonggang QiQingming HuangQi Tian
2019-04-17

Categories