Publication

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Related publications (51)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Graph Chatbot

Chat with Graph Search

Shapes from Pixels

Combining UAV-imagery and machine learning for wildlife conservation

Agile, Versatile, and Comprehensive Social Media Platform for Creating, Sharing, Exploiting, and Archiving Personal Learning Spaces, Artifacts, and Traces

Quantifying the Bullwhip Effect Using Two-Echelon Data: A Cross-Industry Empirical Investigation

Introducing Geometry in Active Learning for Image Segmentation

Active Learning of Self-concordant like Multi-index Functions

Automatic Hand Phantom Map Detection Methods

SVM Active Learning Approach for Image Classification Using Spatial Information

Active Learning: Any Value for Classification of Remotely Sensed Data?

Active learning for monitoring network optimization