Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label

no code implementations • 15 Apr 2024 • Byeongkeun Kang, Sinhae Cha, Yeejin Lee

This paper investigates a framework for weakly-supervised object localization, which aims to train a neural network capable of predicting both the object class and its location using only images and their image-level class labels.

Object Pseudo Label +2

Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization

no code implementations • 15 Dec 2023 • David Kim, Sinhae Cha, Byeongkeun Kang

This work addresses the task of weakly-supervised object localization.

Clustering Deep Clustering +2