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Found 5 papers, 2 papers with code
Explaining Generalization Power of a DNN Using Interactive Concepts
Although there is no universally accepted definition of the concepts encoded by a DNN, the sparsity of interactions in a DNN has been proved, i. e., the output score of a DNN can be well explained by a small number of interactions between input variables.
BadDet: Backdoor Attacks on Object Detection
We propose four kinds of backdoor attacks for object detection task: 1) Object Generation Attack: a trigger can falsely generate an object of the target class; 2) Regional Misclassification Attack: a trigger can change the prediction of a surrounding object to the target class; 3) Global Misclassification Attack: a single trigger can change the predictions of all objects in an image to the target class; and 4) Object Disappearance Attack: a trigger can make the detector fail to detect the object of the target class.
Let's Talk! Striking Up Conversations via Conversational Visual Question Generation
An engaging and provocative question can open up a great conversation.
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Based on the proposed metrics, we analyze two typical phenomena of the change of the transformation complexity during the training process, and explore the ceiling of a DNN's complexity.
Understanding, Analyzing, and Optimizing the Complexity of Deep Models
Based on the proposed metrics, we analyze two typical phenomena of the change of the transformation complexity during the training process, and explore the ceiling of a DNN’s complexity.
