Evaluating Weakly Supervised Object Localization Methods Right Information Guide

  1. Overview to Evaluating Weakly Supervised Object Localization Methods Right
  2. Important Facts
  3. Developments
  4. Detailed Analysis
  5. Future Outlook

Overview to Evaluating Weakly Supervised Object Localization Methods Right

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Important Facts

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Developments

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Dual Gradients Localization framework for Weakly Supervised Object Localization
Dual Gradients Localization framework for Weakly Supervised Object Localization
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Few-shot Weakly-Supervised Object Detection via Directional Statistics
The 3rd Place of Track-3: Weakly Supervised Object Localization
The 3rd Place of Track-3: Weakly Supervised Object Localization
Rethinking the Route Towards Weakly Supervised Object Localization
Rethinking the Route Towards Weakly Supervised Object Localization
ECCV 2020 WSL tutorial: 5. Evaluating weakly-supervised methods
ECCV 2020 WSL tutorial: 5. Evaluating weakly-supervised methods
Evaluation for Weakly Supervised Object Localization Protocol, Metrics, and Datasets
Evaluation for Weakly Supervised Object Localization Protocol, Metrics, and Datasets
Spatial-Aware Token for Weakly Supervised Object Localization
Spatial-Aware Token for Weakly Supervised Object Localization
CVPR18: Tutorial: Part 1: Weakly Supervised Learning for Computer Vision
CVPR18: Tutorial: Part 1: Weakly Supervised Learning for Computer Vision
952 - Where to Look: Mining Complementary Image Regions for Weakly Supervised Object Localization
952 - Where to Look: Mining Complementary Image Regions for Weakly Supervised Object Localization
Webinar 41 Weakly supervised object detection: application to Neuroimaging by Florian Dubost
Webinar 41 Weakly supervised object detection: application to Neuroimaging by Florian Dubost
Weakly Supervised Object Localization and Detection A Survey
Weakly Supervised Object Localization and Detection A Survey

Detailed Analysis

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Last Updated: October 17, 2026

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Summary

Authors: Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim Description: ... arXiv: arxiv.org/abs/2001.07437 Code & data: github.com/clovaai/wsolevaluation Achieve the 2nd place of Track 3 " Authors: Amirreza Shaban (University of Washington)*; Amir Rahimi (Australian National University); Thalaiyasingam Ajanthan ... Achieve the 3rd place of Track 3 " Authors: Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu Description: Organizers: Rodrigo Benenson Hakan Bilen Jasper Uijlings Description: Deep convolutional networks have become the go-to ... ... learning competitions he will enlighten us on the Weakly Supervised Object Localization

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