Self-taught object localization with deep networks
Explore this paper's citation graph
- Type
- article
- Published
- 2014-09-13
- Cited by
- 160
- References
- 49
- Access
- Open access
- OpenAlex
- https://openalex.org/W1586079445
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5410174
Keywords
Computer science, Artificial intelligence, Bounding overwatch, Object (grammar), Masking (illustration)
References
- Learning to Segment Object Candidates
- DeepBox: Learning Objectness with Convolutional Networks
- One-Bit Object Detection: On learning to localize objects with minimal supervision
- Weakly supervised object recognition with convolutional neural networks
- Object proposal by multi-branch hierarchical segmentation
- Convolutional feature masking for joint object and stuff segmentation
- Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
- Confidence-Rated Multiple Instance Boosting for Object Detection
- Multiscale Combinatorial Grouping
- Is object localization for free? - Weakly-supervised learning with convolutional neural networks
- Efficient Graph-Based Image Segmentation
- Generating Object Segmentation Proposals Using Global and Local Search
- Multi-fold MIL Training for Weakly Supervised Object Localization
- Large-Scale Video Classification with Convolutional Neural Networks
- Constrained parametric min-cuts for automatic object segmentation
- Category-Independent Object Proposals with Diverse Ranking
- What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection
- Weakly Supervised Localization and Learning with Generic Knowledge
- Measuring the Objectness of Image Windows
- Scalable Object Detection Using Deep Neural Networks
Cited by
- Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks
- Deep Learning Face Attributes in the Wild
- Weakly supervised semantic segmentation for social images
- Is object localization for free? - Weakly-supervised learning with convolutional neural networks
- Webly Supervised Learning of Convolutional Networks
- Learning Deep Features for Discriminative Localization
- Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
- Improving Weakly-Supervised Object Localization By Micro-Annotation
- Weakly Supervised Object Localization with Progressive Domain Adaptation
- Weakly Supervised Facial Analysis with Dense Hyper-Column Features
- Self Paced Deep Learning for Weakly Supervised Object Detection
- Risk Prediction with Electronic Health Records: A Deep Learning Approach
- Weakly Supervised Cascaded Convolutional Networks
- Diverse Sampling for Self-Supervised Learning of Semantic Segmentation
- Learning Human Poses from Monocular Images
- Image Piece Learning for Weakly Supervised Semantic Segmentation
- Learning Word-Like Units from Joint Audio-Visual Analysis
- Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- Few-Example Object Detection with Model Communication
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