This article introduce the minimum spanning tree algorithm.
ML-LocNet: Improving Object Localization with Multi-view Learning Network
This paper proposes a Multi-view Learning Localization Network (ML-LocNet) by incorporating multi-view learning into a two-phase Weakly Supervised Object Localization (WSOL) model.
Multiple-Instance Learning
What is MIL? What can we do with it?
Zigzag Learning for Weakly Supervised Object Detection
This paper proposes a zigzag learning strategy to run object detection under a weakly supervised paradigm and prevent the model from overfitting initial seeds.
Deep Salient Object Detection With Dense Connections and Distraction Diagnosis
Graph Laplacian
K-means
A brief introduction of K-means clustering algorithm.
Linear Algebra
Some notions of Linear Algebra.
Affinity Matirx
What is an affinity matrix?
Spectral Clustering
A brief introduction of spectral clustering algorithm.