DropBlock

Introduced by Ghiasi et al. in DropBlock: A regularization method for convolutional networks

DropBlock is a structured form of dropout directed at regularizing convolutional networks. In DropBlock, units in a contiguous region of a feature map are dropped together. As DropBlock discards features in a correlated area, the networks must look elsewhere for evidence to fit the data.

Source: DropBlock: A regularization method for convolutional networks

Latest Papers

PAPER DATE
Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis
Vishal MandalYaw Adu-Gyamfi
2020-07-31
PP-YOLO: An Effective and Efficient Implementation of Object Detector
| Xiang LongKaipeng DengGuanzhong WangYang ZhangQingqing DangYuan GaoHui ShenJianguo RenShumin HanErrui DingShilei Wen
2020-07-23
SaADB: A Self-attention Guided ADB Network for Person Re-identification
Bo JiangSheng WangXiao WangAihua Zheng
2020-07-07
YOLOv4: Optimal Speed and Accuracy of Object Detection
| Alexey BochkovskiyChien-Yao WangHong-Yuan Mark Liao
2020-04-23
ResNeSt: Split-Attention Networks
| Hang ZhangChongruo WuZhongyue ZhangYi ZhuZhi ZhangHaibin LinYue SunTong HeJonas MuellerR. ManmathaMu LiAlexander Smola
2020-04-19
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
| Zhongzheng RenZhiding YuXiaodong YangMing-Yu LiuYong Jae LeeAlexander G. SchwingJan Kautz
2020-04-09
Dense Residual Network for Retinal Vessel Segmentation
Changlu GuoMárton SzemenyeiYugen YiYing XueWei ZhouYangyuan Li
2020-04-07
Channel Attention Residual U-Net for Retinal Vessel Segmentation
Changlu GuoMárton SzemenyeiYugen YiWei Zhou
2020-04-07
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification
Devesh WalawalkarZhiqiang ShenZechun LiuMarios Savvides
2020-03-29
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
| Junhui YinSiqing ZhangDongliang ChangZhanyu MaJun Guo
2020-03-09
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Yifeng DingShaoguo WenJiyang XieDongliang ChangZhanyu MaZhongwei SiHaibin Ling
2020-02-09
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
Xiaofu WuBen XieShiliang ZhaoSuofei ZhangYong XiaoMing Li
2020-02-09
DropCluster: A structured dropout for convolutional networks
Liyan ChenPhilip GautierSergul Aydore
2020-02-07
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
| Jungkyu LeeTaeryun WonTae Kwan LeeHyemin LeeGeonmo GuKiho Hong
2020-01-17
On the Regularization Properties of Structured Dropout
Ambar PalConnor LaneRené VidalBenjamin D. Haeffele
2019-10-30
Second-Order Non-Local Attention Networks for Person Re-Identification
Bryan (Ning) Xia Yuan Gong Yizhe Zhang Christian Poellabauer
2019-10-01
Convolutional Neural Networks with Dynamic Regularization
Yi WangZhen-Peng BianJunhui HouLap-Pui Chau
2019-09-26
Second-order Non-local Attention Networks for Person Re-identification
BryanXiaYuan GongYizhe ZhangChristian Poellabauer
2019-08-31
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
| Golnaz GhiasiTsung-Yi LinRuoming PangQuoc V. Le
2019-04-16
Batch DropBlock Network for Person Re-identification and Beyond
| Zuozhuo DaiMingqiang ChenXiaodong GuSiyu ZhuPing Tan
2018-11-17
DropBlock: A regularization method for convolutional networks
| Golnaz GhiasiTsung-Yi LinQuoc V. Le
2018-10-30

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