Weakly-Supervised Object Localization
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Benchmarks
CUB-200-2011
ImageNet
ILSVRC 2016
CUB-200-2011
Tiny ImageNet
ILSVRC 2015
CUB
Most implemented
Learning Deep Features for Discriminative Localization
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
Eigen-CAM: Class Activation Map using Principal Components
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Papers
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Weakly Supervised Object Localization (WSOL), which aims to localize objects by only using image-level labels, has attracted much attention because of its low annotation cost in real applications. Current studies focus o…
Object LocalizationWeakly-Supervised Object LocalizationZero-shot GeneralizationPixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization
Weakly supervised object localization (WSOL) methods allow training models to classify images and localize ROIs. WSOL only requires low-cost image-class annotations yet provides a visually interpretable classifier, which…
image-classificationImage ClassificationObject LocalizationWeakly-Supervised Object LocalizationTeD-Loc: Text Distillation for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) using classification models trained with only image-class labels remains an important challenge in computer vision. Given their reliance on classification objectives, traditio…
ClassificationDenoisingMultiple Instance LearningObject Localization+2Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning
Image classification is a fundamental computer vision task and an important baseline for deep metric learning. In decades efforts have been made on enhancing image classification accuracy by using deep learning models wh…
Classificationimage-classificationImage ClassificationMetric Learning+3Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
Weakly-Supervised Video Object Localization (WSVOL) involves localizing an object in videos using only video-level labels, also referred to as tags. State-of-the-art WSVOL methods like Temporal CAM (TCAM) rely on class a…
Object LocalizationWeakly-Supervised Object LocalizationLeveraging Activations for Superpixel Explanations
Saliency methods have become standard in the explanation toolkit of deep neural networks. Recent developments specific to image classifiers have investigated region-based explanations with either new methods or by adapti…
Object LocalizationSuperpixelsWeakly-Supervised Object Localization