Instance Segmentation Models Object Detection Models One-Stage Object Detection Models Contour Proposal Network public – 2 min read What is CPN? CPN, also known as the Contour Proposal Network, is a cutting-edge technology used to detect and identify… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Affordance Correspondence public – 2 min read AffCorrs for One-Shot Visual Search of Object Parts Have you ever noticed how easy it is for humans to recognize… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models SCNet public – 2 min read What is SCNet? An Overview SCNet, or Sample Consistency Network, is a method for instance segmentation that helps ensure that… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models BlendMask public – 2 min read What is BlendMask? BlendMask is a type of computer program that helps researchers and engineers better understand images by dividing… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Conditional Convolutions for Instance Segmentation public – 1 min read Overview: Understanding CondInst - A New Instance Segmentation Framework If you're interested in computer vision and object detection, you may… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Deep-MAC public – 1 min read Deep-MAC is a new type of anchor-free instance segmentation model that is based on CenterNet. The objective of this innovation… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models CenterMask public – 2 min read What is CenterMask? CenterMask is a type of object detection technology that focuses on instance segmentation. This means that it… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Video Instance Segmentation Models VisTR public – 2 min read VisTR: A Transformer-Based Video Instance Segmentation Model VisTR is an innovative video instance segmentation model based on the popular Transformer… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Semantic Segmentation Models K-Net public – 2 min read K-Net: A Unified Framework for Semantic and Instance Segmentation K-Net is a framework for semantic and instance segmentation that uses… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Object Detection Models GCNet public – 2 min read The Global Context Network, or GCNet, is a new technique in image recognition that utilizes global context blocks to model… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Mask Scoring R-CNN public – 3 min read In computer vision, Mask Scoring R-CNN is a state-of-the-art deep learning model used for instance segmentation, which involves identifying objects… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Object Detection Models Hybrid Task Cascade public – 2 min read HTC: The Framework for Cascading in Instance Segmentation In the field of computer vision, instance segmentation has become an increasingly… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Cascade Mask R-CNN public – 2 min read Cascade Mask R-CNN is a powerful computer vision model that extends Cascade R-CNN to instance segmentation. This means that it… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Object Detection Models PANet public – 2 min read Introduction to PANet Path Aggregation Network, or PANet, is an approach used to enhance information flow in computer vision. Specifically,… Apr 23, 2023 Devin Schumacher
Instance Segmentation Models Object Detection Models Mask R-CNN public – 3 min read Mask R-CNN: Advancing Object Detection and Instance Segmentation If you've ever seen a self-driving car, you may wonder how it… Apr 23, 2023 Devin Schumacher