이번 posting에서 다룰 논문은 Segmentation에 대해 3개의 논문을 다룰 것이다.Segmentation의 경우 크게 3가지로 분류할 수 있는데, Semantic Segmentation, Instance Segmentation, Panoptic Segmentation이 그 3가지 이다.Semantic Segmentationhttps://arxiv.org/abs/1411.4038 Fully Convolutional Networks for Semantic SegmentationConvolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by ..

논문 출처https://arxiv.org/abs/2201.03786 Drone Object Detection Using RGB/IR FusionObject detection using aerial drone imagery has received a great deal of attention in recent years. While visible light images are adequate for detecting objects in most scenarios, thermal cameras can extend the capabilities of object detection to night-tiarxiv.orgAbstract그동안 drone이라고 불리는 공중 비행 장치를 통한 object detectio..

논문 출처https://arxiv.org/abs/2111.06377 Masked Autoencoders Are Scalable Vision LearnersThis paper shows that masked autoencoders (MAE) are scalable self-supervised learners for computer vision. Our MAE approach is simple: we mask random patches of the input image and reconstruct the missing pixels. It is based on two core designs. First, wearxiv.orgAbstract이 논문에서는 MAE [Masked Autoencoder]가 comput..