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..

Hu, Benran, et al. "Instance Neural Radiance Field." arXiv preprint arXiv:2304.04395 (2023). https://arxiv.org/pdf/2304.04395.pdf 이 논문은 그냥 arxiv를 떠다니다가 발견한 논문이다. indoor scene에 대해서 Instance level로 NeRF를 사용한 논문이다. 일종의 pipeline이라고 생각하면 될 듯 하다. Method 이 논문의 Instance-NeRF의 목적을 먼저 말하자면 3D scene에 모든 object를 detection bounding box, continuous 3D mask, 각각의 3D object의 class label까지 produce 위와 같은 목적을 갖고 있다..

지난 1탄에 이어 2탄 이어서 작업!! Num Figure Paper Author 21 6D robotic Assembly Based on RGB-only Object Pose Estimation Bowen Fu(Department of Automation and BNRist, Tsinghua University, Beijing, China) 22 Self-supervised Wide Baseline Visual Servoing via 3D Equivariance Jiwook Huh(Samsung AI center NY, New York, NY) 23 Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes Binbin X..

Num Figure Paper​ Author 1 Multi-Source Domain Alignment for Domain Invariant Segmentation in Unknown Targets Pranjay Shyam(KAIST) Unsupervised Domain Adaptation, Domain Generalization, Contrastive Learning 2 Depth360: Self-supervised Learning for Monocular Depth Estimation using Learnable camera Distortion Model Noriaki Hirose(Toyota central R&D Labs) Point Cloud, Classification, Generation, Cl..