What is PSPNet?
PSPNet, an acronym for Pyramid Scene Parsing Network, constitutes a profound Deep Learning model meticulously crafted for pixel-wise semantic segmentation of images. Developed by Heng Shuang Zhao et al. in 2017, PSPNet adeptly tackles the challenges associated with capturing contextual information across diverse scales within an image. The architecture is accomplished through the integration of a pioneering pyramid pooling module, empowering the network to encapsulate intricate contextual details and elevate segmentation precision.
Some of the key-working principals of PSPNet is discussed below:
- Pyramid Pooling Module: The crux of its innovation lies in its pyramid pooling module which is specially designed to encapsulate multi-scale contextual information. By partitioning the input feature map into distinct regions and applying adaptive pooling across various scales, it ensures the network’s adeptness in scrutinizing both nuanced intricacies and broader contextual nuances.
- Residual Blocks with Dilated Convolutions: PSPNet strategically employs residual blocks featuring dilated convolutions to distill features from input images. The utilization of dilated convolutions facilitates an expanded receptive field without a surge in parameters, thus accommodating the assimilation of more extensive contextual information. This augmentation significantly contributes to the model’s prowess in comprehending complex scenes and refining segmentation accuracy.
- Image Pyramid: PSPNet harnesses the potential of an image pyramid to process input images at multiple resolutions. This strategic approach empowers the network to analyze images across varying scales, capturing the intricacies of both local and global contexts. The synergistic interplay between the pyramid pooling module and the image pyramid propels it’s proficiency in segmenting objects of diverse sizes and characteristics.
PSPNet (Pyramid Scene Parsing Network) for Image Segmentation
Within the intricate landscape of semantic segmentation, the Pyramid Scene Parsing Network or PSPNet has emerged as a formidable architecture by showcasing unparalleled performance in deciphering intricate scenes. In this article, we will discuss about PSPNet and implement it.