Learning Deep Features for Discriminative Localization
https://arxiv.org/pdf/1512.04150.pdf
Top-down Neural Attention by Excitation Backprop
https://arxiv.org/pdf/1608.00507.pdf
Grad-CAM:Visual Explanations from Deep Networks via Gradient-based Localization
https://arxiv.org/pdf/1610.02391.pdf https://github.com/ramprs/grad-cam
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
https://arxiv.org/pdf/1710.11063.pdf
Tell Me Where to Look: Guided Attention Inference Network
https://arxiv.org/pdf/1802.10171.pdf
CNN Fixations: An unraveling approach to visualize the discriminative image regions
https://arxiv.org/pdf/1708.06670.pdf
LEARNING HOW TO EXPLAIN NEURAL NETWORKS: PATTERNNET AND PATTERNATTRIBUTION
https://arxiv.org/pdf/1705.05598.pdf
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
https://arxiv.org/pdf/1703.08448.pdf
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
https://arxiv.org/pdf/1604.00825.pdf
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0130140&type=printable
Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image
weakly supervised object detections
C-WSL: Count-guided Weakly Supervised Localization
https://arxiv.org/pdf/1711.05282.pdf
Improved Techniques for the Weakly-Supervised Object Localization
https://arxiv.org/pdf/1802.07888.pdf
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
https://arxiv.org/pdf/1511.03776.pdf
Saliency Guided End-to-End Learning for Weakly Supervised Object Detection
https://www.ijcai.org/proceedings/2017/0285.pdf
Collaborative Learning for Weakly Supervised Object Detection
https://www.ijcai.org/proceedings/2018/0135.pdf
Training object class detectors with click supervision
http://calvin.inf.ed.ac.uk/wp-content/uploads/Publications/papadopoulos17cvpr.pdf
Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
https://arxiv.org/pdf/1603.06098.pdf
Weakly Supervised Instance Segmentation using Class Peak Response
https://arxiv.org/pdf/1804.00880.pdf