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Gaining insight into how deep convolutional neural network models perform image classification and how to explain their outputs have been a concern to computer vision researchers and decision makers.
1908
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Lou, Yin, Rich Caruana, and Johannes Gehrke. ”Intelligible models for classification and regression.” In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 150-158. ACM, 2012
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Hoiem, Derek, Yodsawalai Chodpathumwan, and Qieyun Dai. ”Diagnosing error in object detectors.” In European conference on computer vision, pp. 340-353. Springer, Berlin, Heidelberg, 2012
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Vinyals, Oriol, Alexander Toshev, Samy Bengio, and Dumitru Erhan. ”Show and tell: A neural image caption generator.” In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3156-3164. 2015
2015
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Antol, Stanislaw, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. ”Vqa: Visual question answering.” In Proceedings of the IEEE international conference on computer vision, pp. 2425-2433. 2015
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2015
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He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. ”Deep residual learning for image recognition.” In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016
2016
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Ribeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. ”Why should i trust you?: Explaining the predictions of any classifier.” In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp. 1135-1144. ACM, 2016
2016
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Selvaraju, Ramprasaath R., Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra. ”Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.” In ICCV, pp. 618-626. 2017
2017
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2017
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2017
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Mahendran, Aravindh, and Andrea Vedaldi. ”Visualizing deep convolutional neural networks using natural pre-images.” International Journal of Computer Vision 120, no. 3 (2016): 233-255
2016
Cited alongside, same era.
Zhou, Bolei, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba. ”Learning deep features for discriminative localization.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2921-2929. 2016
2016
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2016
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2017
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2017
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Chattopadhay, Aditya, Anirban Sarkar, Prantik Howlader, and Vineeth N. Balasubramanian. ”Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks.” In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 839-847. IEEE, 2018
2018
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