Demo Weakly Supervised Object Localisation

iccv 2013

952 - Where to Look?: Mining Complementary Image Regions for Weakly Supervised Object Localization

Authors: Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim Description: ...

Authors: Jinjie Mai, Meng Yang, Wenfeng Luo Description:

In this

Hi this is chadwang from seoul national university i would like to talk about our paper

Achieve the 3rd place of Track 3 "

Weakly Supervised Object Localization

arXiv: https://arxiv.org/abs/2001.07437 Code & data: https://github.com/clovaai/wsolevaluation

Zequn Jie; Yunchao Wei; Xiaojie Jin; Jiashi Feng; Wei Liu Most existing

Paper link: https://arxiv.org/abs/2012.05360.

A graph-model-based Transformer external module, Spatial Calibration Module (SCM) for accurate WSOL. By Haotian Bai ...

... learning approach for few-shot Common

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In addition, the proposed method is the first to benchmark ResNet based models and

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Two-Phase Learning for

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Video for our CVPR 2023 paper - LOCATE:

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