Feature Extractors MatrixNet public – 2 min read Overview of MatrixNet MatrixNet is a new technology that helps computers detect objects of different sizes and aspect ratios. It… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Pyramid Blocks BiFPN public – 2 min read A BiFPN, also known as a Weighted Bi-directional Feature Pyramid Network, is a type of feature pyramid network that helps… Apr 23, 2023 Devin Schumacher
Feature Extractors Image Model Blocks Semantic Segmentation Modules Neural Attention Fields public – 2 min read Overview of NEAT, Neural Attention Fields NEAT, or Neural Attention Fields, is a feature representation for end-to-end imitation learning models.… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Pyramid Blocks NAS-FPN public – 2 min read If you've ever used an image recognition tool or a video encoder, you've likely utilized convolutional neural networks (CNNs). CNNs… Apr 23, 2023 Devin Schumacher
Feature Extractors Context Enhancement Module public – 1 min read Context Enhancement Module for Object Detection In object detection, the Context Enhancement Module (CEM) is a feature extraction module used… Apr 23, 2023 Devin Schumacher
Feature Extractors Spatial Attention Module (ThunderNet) public – 2 min read Understanding the Spatial Attention Module (ThunderNet) The Spatial Attention Module, also known as SAM, is a critical component of ThunderNet,… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Intertwiner public – 1 min read What is Feature Intertwiner? Feature Intertwiner is a revolutionary module used for object detection that focuses on leveraging the features… Apr 23, 2023 Devin Schumacher
Feature Extractors FSAF public – 2 min read Are you interested in learning about cutting-edge technology in the field of object detection? Look no further than FSAF, or… Apr 23, 2023 Devin Schumacher
Feature Extractors Panoptic FPN public – 2 min read A **Panoptic FPN** is a computer vision technique that is used to perform both instance segmentation and semantic segmentation of… Apr 23, 2023 Devin Schumacher
Feature Extractors TridentNet Block public – 2 min read Overview of TridentNet Block: The TridentNet Block is a feature extractor that is utilized in object detection models. Through this… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Pyramid Blocks MLFPN public – 2 min read What Is Multi-Level Feature Pyramid Network (MLFPN)? Multi-Level Feature Pyramid Network, or MLFPN for short, is a type of feature… Apr 23, 2023 Devin Schumacher
Feature Extractors Thinned U-shape Module public – 1 min read What is TUM? TUM stands for Thinned U-Shape Module, which is a feature extraction block used for object detection models.… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Fusion Module v1 public – 2 min read Overview of FFMv1: A Feature Fusion Module from the M2Det Object Detection Model FFMv1, or Feature Fusion Module v1, is… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Fusion Module v2 public – 1 min read Feature Fusion Module v2, or FFMv2, is an important module in the object detection model known as M2Det. Its primary… Apr 23, 2023 Devin Schumacher
Feature Extractors Scale-wise Feature Aggregation Module public – 2 min read When it comes to object detection in computer vision, the Scale-wise Feature Aggregation Module, or SFAM, has emerged as a… Apr 23, 2023 Devin Schumacher
Feature Extractors Receptive Field Block public – 2 min read Understanding Receptive Field Block (RFB) If you are someone who is interested in computer vision and image detection, you may… Apr 23, 2023 Devin Schumacher
Feature Extractors Deep Layer Aggregation public – 2 min read DLA: Improving Neural Network Accuracy and Efficiency Deep Layer Aggregation (DLA) is a technique used to improve the accuracy and… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Pyramid Blocks Bottom-up Path Augmentation public – 2 min read Bottom-Up Path Augmentation is a technique that enhances feature pyramids with accurate localization signals found in low-levels. By shortening the… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Pyramid Blocks PAFPN public – 3 min read Understanding PAFPN in Path Aggregation Networks (PANet) Have you ever heard of PAFPN? It's a feature pyramid module that's used… Apr 23, 2023 Devin Schumacher
Feature Extractors Spatio-temporal stability analysis public – 2 min read Overview of Spatio-Temporal Features Extraction If you're interested in understanding how things move, then you've likely come across the term… Apr 23, 2023 Devin Schumacher
Convolutional Neural Networks Feature Extractors Fourier-related Transforms MCKERNEL public – 3 min read Overview of McKernel: A Framework for Kernel Approximates in the Mini-Batch Setting McKernel is a framework introduced to use kernel… Apr 23, 2023 Devin Schumacher
Feature Extractors Feature Pyramid Blocks Feature Pyramid Network public – 1 min read What is a Feature Pyramid Network? A **Feature Pyramid Network**, or **FPN**, is an artificial neural network used for object… Apr 23, 2023 Devin Schumacher