Pooling Operations Soft Pooling public – 2 min read SoftPool: Retaining More Information for Better Classification Accuracy What is SoftPool? SoftPool is a new method for pooling in neural… Apr 23, 2023 Devin Schumacher
Pooling Operations Root-of-Mean-Squared Pooling public – 2 min read Understanding RMS Pooling Machine learning models require a lot of data to train properly. Convolutional Neural Networks (CNN) are one… Apr 23, 2023 Devin Schumacher
Pooling Operations Local Importance-based Pooling public – 2 min read What is Local Importance-based Pooling? Local Importance-based Pooling (LIP) is a type of pooling layer used in neural networks to… Apr 23, 2023 Devin Schumacher
AutoML Pooling Operations Shape Adaptor public – 2 min read Introducing Shape Adaptor: A Revolutionary Resizing Module for Neural Networks The world of artificial intelligence and machine learning is constantly… Apr 23, 2023 Devin Schumacher
Attention Modules Pooling Operations Recurrent Neural Networks Hopfield Layer public – 2 min read In the world of neural networks, a Hopfield Layer is a powerful tool that allows a network to associate two… Apr 23, 2023 Devin Schumacher
Pooling Operations Class-MLP public – 3 min read Class-MLP is a new way for machines to process visual information. It is an alternative to average pooling which is… Apr 23, 2023 Devin Schumacher
Pooling Operations Strip Pooling public – 3 min read Strip pooling is a pooling strategy used in scene parsing that involves a narrow and long kernel, either $1\times{… Apr 23, 2023 Devin Schumacher
Pooling Operations Center Pooling public – 2 min read Understanding Center Pooling for Object Detection In the field of computer vision, object detection is an important task that involves… Apr 23, 2023 Devin Schumacher
Pooling Operations Cascade Corner Pooling public – 2 min read Cascade Corner Pooling is a technique used in object detection to improve the accuracy of identifying objects in images. This… Apr 23, 2023 Devin Schumacher
Pooling Operations Generalized Mean Pooling public – 2 min read What is Generalized Mean Pooling? Generalized Mean Pooling (GeM) is a mathematical operation used in deep learning to compute the… Apr 23, 2023 Devin Schumacher
Pooling Operations Corner Pooling public – 2 min read What is Corner Pooling? Corner Pooling is a technique used in object detection to improve the localization of corners. The… Apr 23, 2023 Devin Schumacher
Pooling Operations Adaptive Feature Pooling public – 2 min read Adaptive Feature Pooling: Enhancing Object Detection Object detection is a problem in computer vision that involves finding and identifying objects… Apr 23, 2023 Devin Schumacher
Pooling Operations Spatial Pyramid Pooling public – 2 min read What is Spatial Pyramid Pooling? Spatial Pyramid Pooling (SPP) is a type of pooling layer used in Convolutional Neural Networks… Apr 23, 2023 Devin Schumacher
Pooling Operations Max Pooling public – 3 min read Max Pooling is a popular technique used in computer vision and deep learning to downsample feature maps. In simple terms,… Apr 23, 2023 Devin Schumacher
Pooling Operations Global Average Pooling public – 2 min read Global Average Pooling: A Simplified Way of Feature Extraction Global Average Pooling (GAP) is a popular operation in the field… Apr 23, 2023 Devin Schumacher
Pooling Operations Average Pooling public – 2 min read When it comes to analyzing images, computers use a process called pooling to downsize and simplify the information. One type… Apr 23, 2023 Devin Schumacher