Efforts to Accelerate Computations with SAM
Segment Anything Segment Anything is a foundation model that literally segments various objects. You can obtain segmented regions simply by…
MachineLearning
kevin-tofu The Concept of Optimal Transport
Why Optimal Transport? Cross-Entropy: This is a measure used to quantify the difference between two probability distributions. Specifically, it’s used…
Survey: Machine Learning with Quantum Computers
The frameworks in this book are called the CQ approach, which treats the systems that generate data as classical systems…
The idea of (Guided-) Grad-Cam, Simple Expain
https://arxiv.org/pdf/1610.02391 (Guided) Grad-CAM is a technique for improving the interpretability of deep learning models for image classification, captioning orquestion answring…
Interesting gimmick of diffusion process for training diffusion models
What is actual diffusion process is like on the code The diffusion model gradually abstracts data using many steps. These…
Should you introduce Transformer in your project?
Introduction Transformer (self-attention) has a very important place in natural language processing and has been introduced in numerous models such…
PointNet++: Deep Hierarchical Feature Learning
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
YOLO-X Exceeding YOLO Series in 2021
How they improve YOLO-Series As we can see in Fig1 (Model Architecture) from the original paper, YOLOX has a decoupled…
PointNet
About https://arxiv.org/pdf/1612.00593.pdf As the price of Lidar hardware devices declines, 3D point cloud processing is expected to become increasingly important.…
PyTorch-Numpy-PIL Conversion
PyTorch to Numpy The method “detach()” is going to create a new torch.Tensor on the same device where the original…