Review: SuperGlue: Learning Feature Matching with Graph Neural Networks

Student’s recap: Cross-Iteration Batch Normalization.

Review: Dual Super-Resolution Learning for Semantic Segmentation

Representation learning: the idea behind generative models

STUDENT RECAP ON YOLOv4

Acclaimer: This is a student’s recap in process of my studying. There will be mistakes and misinformations. Be free…

Review: Attention Augmented Convolution Networks

Adopting the ideas of Attention mechanism from sequence modeling (such as text, music), currently Self-attention/Transformer is changing the game of Computer Vision, at its many front battle: Image classification, Object detection, Segmentation.

Review: S2IGAN

SPEECH-TO-IMAGE GENERATION via ADVERSARIAL LEARNING