paper summary: “VarifocalNet: An IoU-aware Dense Object Detector”(VFNet)

arxiv: https://arxiv.org/abs/2008.13367 key points another anchor-free point based object detection network introduce new loss, varifocal loss which is a forked version from focal loss. Makes some changes from focal loss to compensate positive/negative imbalance futher. instead of prediction classification and IOU score separately, this work predicts a single scalar which Read more…

paper summary: “Aggregated Residual Transformations for Deep Neural Networks” (ResNext Paper)

key point compared to resnet, the residual blocks are upgraded to have multiple “paths” or as the paper puts it “cardinality” which can be treated as another model architecture design hyper parameter. resnext architectures that have sufficient cardinality shows improved performance tldr: use improved residual blocks compared to resnet Different Read more…