Modulus
Overview Nvidia is developing Neural Networks training tool for Physics. Here shows what functions it has https://docs.nvidia.com/deeplearning/modulus/modulus-v2209/user_guide/basics/modulus_overview.html Neural Netork Models…
MachineLearning
kevin-tofu Neural Operator for Training Partial Differential Equations
What this field is going to do The previously introduced Physics Informed Neural Network (PINN) directly estimates the solution (field)…
Evaluating Embedding APIs for Information Retrieval
Evaluating Embedding APIs for Information Retrieval https://arxiv.org/abs/2305.06300 Beginning with models on HuggingFace, numerous embedding models have been released. However, in…
Asynchronous Advantage Actor-Critic
Asynchronous Advantage Actor-Critic(A3C) A3C is one of the reinforcement learning methods and has the following characteristics: What kind of functions…
AC-ROC and AU-PRO
ROC Curve PRO : Per-Resion Overlap “PRO” represents the True Positive Rate (TPR) in the Ground Truth region. It’s kind…
Fine-Tuning TorchVision model
It can be said that constructing a learning program in Pytorch is much easier compared to TensorFlow. However, due to…
Why can Yolov8 perform segmentation in real-time?
General Segmentation Algorithms Segmentation in YOLOv8 However, YOLO’s computational procedure is entirely different, making it difficult to incorporate the aforementioned…
Explain PatchCore
https://arxiv.org/abs/2106.08265 About PatchCore is a type of anomaly detection algorithm that gained attention for achieving high scores in MVTech benchmarks.…
What does EfficientAD differ from PatchCore?
The features of EfficientAD The features of PatchCore The Advantage and Disadvantage of EfficientAD Compared to PatchCore Advantage Disadvantage Appendix.…
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
EfficientAD https://arxiv.org/abs/2303.14535 What authors claim They claim to have achieved State of the Art in the task of learning solely…