object detection

How Transformers Learned to See at Every Scale

CodeEmporium

Transformers originally revolutionized natural language processing with architectures introduced in 2017 for tasks like translation, followed by pre-training paradigms seen in models like BERT and GPT that achieved state-of-the-art performance through scaling laws. Around 2020, this success inspired …

How Do CNNs See Objects at EVERY Scale?

CodeEmporium

Convolutional neural networks (CNNs) have evolved significantly from their early iterations like LeNet to become powerful tools for complex visual tasks such as object detection and segmentation. Initially, these models relied on simple sequences of convolution, pooling, and fully connected layers t …