윤제로의 제로베이스

https://arxiv.org/abs/2001.05566 Image Segmentation Using Deep Learning: A Survey Image segmentation is a key topic in image processing and computer vision with applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among many others. Various al arxiv.org 3. DL-Based Image Segmentation models 3.1 Fully C..

https://fuxiao0719.github.io/projects/panopticnerf/ Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Abstract Panoptic NeRF obtains per-pixel 2D semantic and instance labels from easy-to-obtain coarse 3D bounding primitives. --> Large-scale training data with high-quality annotations is critical for training semantic and instance segmentation models. Unfo fuxiao0719.g..

요즘 관심있는 분야는 Semantic Segmentation이다. 이 부분에 대해서 지식을 좀 쌓으려고 Segmentation 부분이랑 NeRF 부분을 공부해보려고 한다!! 그래서 공부한 것들을 좀 정리하려고 한다. 읽은 것들 Fu, Xiao, et al. "Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation." arXiv preprint arXiv:2203.15224 (2022). Kundu, Abhijit, et al. "Panoptic neural fields: A semantic object-aware neural scene representation." Proceedings of the IEEE/CVF Conf..