Object Detection(目标检测神文)(二)

[CVPR2019] Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

• arxiv: https://arxiv.org/abs/1902.09630

anchor-free

无锚框最近的热点，有机会研究下。

[CVPR2019] Region Proposal by Guided Anchoring

• intro: CUHK - SenseTime Joint Lab & Amazon Rekognition & Nanyang Technological University
• arxiv: https://arxiv.org/abs/1901.03278

[CVPR2019] Feature Selective Anchor-Free Module for Single-Shot Object Detection

• intro: FSAF for Single-Shot Object Detection
• arxiv: https://arxiv.org/abs/1903.00621

[CVPR2019]CenterNet: Keypoint Triplets for Object Detection

• intro: CornerNet改进
• arxiv: https://arxiv.org/abs/1904.08189
• github: https://github.com/Duankaiwen/CenterNet

[CVPR2019]Objects as Points

• intro: CornerNet改进
• arxiv: https://arxiv.org/pdf/1904.07850.pdf
• github: https://github.com/xingyizhou/CenterNet

[CVPR2019]CornerNet-Lite: Efficient Keypoint Based Object Detection

• intro: CornerNet改进，mAP34.4%-34ms
• arxiv: https://arxiv.org/abs/1904.08900
• github: https://github.com/princeton-vl/CornerNet-Lite

[CVPR2019]FoveaBox: Beyond Anchor-based Object Detector

• intro:
• arxiv: https://arxiv.org/abs/1904.03797
• github:

[2019]DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors

• intro: Baidu Inc.
• arxiv: https://arxiv.org/abs/1904.06883

YOLO

[2019]Spiking-YOLO: Spiking Neural Network for Real-time Object Detection

• arxiv: https://arxiv.org/abs/1903.06530

[CVPR2019]Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving

• arxiv: https://arxiv.org/abs/1904.04620

[AAAI2019]Gradient Harmonized Single-stage Detector

• intro: AAAI 2019 Oral
• arxiv: https://arxiv.org/abs/1811.05181
• gihtub(official): https://github.com/libuyu/GHM_Detection

[2019]Augmentation for small object detection

• arxiv: https://arxiv.org/abs/1902.07296

[2019]SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

• intro: TuSimple
• arxiv: https://arxiv.org/abs/1903.05831
• github: https://github.com/tusimple/simpledet

[2019]BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

• intro: University of Toronto
• arxiv: https://arxiv.org/abs/1903.03838

[2019]DetNAS: Neural Architecture Search on Object Detection

• intro: Chinese Academy of Sciences & Megvii Inc
• arxiv: