Weakly-Supervised Object Localization

64 papers with code • 7 benchmarks • 3 datasets

This task has no description! Would you like to contribute one?

Libraries

Use these libraries to find Weakly-Supervised Object Localization models and implementations

Most implemented papers

Learning Deep Features for Discriminative Localization

zhoubolei/CAM CVPR 2016

In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network to have remarkable localization ability despite being trained on image-level labels.

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization

zhengshou/AutoLoc ICCV 2017

We propose `Hide-and-Seek', a weakly-supervised framework that aims to improve object localization in images and action localization in videos.

Eigen-CAM: Class Activation Map using Principal Components

jacobgil/pytorch-grad-cam 1 Aug 2020

At the heart of this progress is convolutional neural networks (CNNs) that are capable of learning representations or features given a set of data.

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

jacobgil/pytorch-grad-cam IEEE 2021

To evaluate the quality of the class activation maps produced by LayerCAM, we apply them to weakly-supervised object localization and semantic segmentation.

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

durandtibo/wildcat.pytorch CVPR 2017

This paper introduces WILDCAT, a deep learning method which jointly aims at aligning image regions for gaining spatial invariance and learning strongly localized features.

Adversarial Complementary Learning for Weakly Supervised Object Localization

junkwhinger/adversarial_complementary_learning CVPR 2018

With such an adversarial learning, the two parallel-classifiers are forced to leverage complementary object regions for classification and can finally generate integral object localization together.

Evaluating Weakly Supervised Object Localization Methods Right

clovaai/wsolevaluation CVPR 2020

In this paper, we argue that WSOL task is ill-posed with only image-level labels, and propose a new evaluation protocol where full supervision is limited to only a small held-out set not overlapping with the test set.

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets

clovaai/wsolevaluation 8 Jul 2020

In this paper, we argue that WSOL task is ill-posed with only image-level labels, and propose a new evaluation protocol where full supervision is limited to only a small held-out set not overlapping with the test set.

A Generic Visualization Approach for Convolutional Neural Networks

ahmdtaha/l2_caf_pytorch ECCV 2020

Compared to classification networks, attention visualization for retrieval networks is hardly studied.

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization

vasgaowei/TS-CAM ICCV 2021

TS-CAM finally couples the patch tokens with the semantic-agnostic attention map to achieve semantic-aware localization.