InLevel Up CodingbyWei-Meng LeeUnderstanding the COCO Annotation Format for Object DetectionLearn how the annotations for images are stored in the COCO annotation format (used by fastai)May 4, 2023May 4, 2023
InGeek CulturebyDevanshWhy Small Batch sizes lead to greater generalization in Deep LearningIs there something inherently wrong with larger Batch sizes?Jan 8, 2022Jan 8, 2022
InMini DistillbyKevin ShenEffect of batch size on training dynamicsThis is a longer blogpost where I discuss results of experiments I ran myself.Jun 19, 2018A response icon23Jun 19, 2018A response icon23
InGeek CulturebyDevanshHow does Batch Size impact your model learningDifferent aspects that you care aboutJan 17, 2022A response icon6Jan 17, 2022A response icon6
Kartik Wason, Founder, ZovacoHuman Pose Estimation: OpenPose vs. HRNetHuman Pose Estimation refers to the process of inferring poses/locating body joints of humans in an image/video. It is one of the most…Jul 13, 2020Jul 13, 2020
InSyncedReviewbySyncedHuman Pose Estimation Model HRNet Breaks Three COCO Records; CVPR Accepts PaperMicrosoft Research Asia and University of Science and Technology of China have jointly released a new human pose estimation model which…Mar 5, 2019Mar 5, 2019
Sik-Ho TsangReview — Lite-HRNet: A Lightweight High-Resolution NetworkProposes Light Weight HRNet Using Conditional Channel Weighting (CCW)May 9, 2023May 9, 2023
InDev GeniusbyAditi RastogiResNet50ResNet-50 is a convolutional neural network that is 50 layers deep. ResNet, short for Residual Networks is a classic neural network used as…Mar 14, 2022A response icon1Mar 14, 2022A response icon1
InTDS ArchivebySuvaditya MukherjeeThe Annotated ResNet-50Explaining how ResNet-50 works and why it is so popularAug 18, 2022A response icon4Aug 18, 2022A response icon4
InTDS ArchivebyHucker MariusHRNet explained: Human Pose Estimation, Semantic Segmentation and Object DetectionRevealing whats behind the state-of-the art algorithm HRNetOct 6, 2021A response icon1Oct 6, 2021A response icon1
InTDS ArchivebyUri AlmogYOLO V3 ExplainedIn this post we’ll discuss the YOLO detection network and its versions 1, 2 and especially 3.Oct 9, 2020A response icon3Oct 9, 2020A response icon3
Siddharth SharmaA Short Guide to Pose Estimation in Computer VisionThis article will tackle the subject of pose estimation and will analyze how it works and compare different approaches and their pros and…Apr 2, 2020A response icon1Apr 2, 2020A response icon1
