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Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu, Hengshuang Zhao, Volker Tresp +1
Deep neural network-based image classification can be misled by adversarial examples with small and quasi-imperceptible perturbations. Furthermore, the adversarial examples created…
Are Vision Transformers Robust to Patch Perturbations?
Jindong Gu, Volker Tresp, Yao Qin
Recent advances in Vision Transformer (ViT) have demonstrated its impressive performance in image classification, which makes it a promising alternative to Convolutional Neural Net…
Relation Transformer Network
Rajat Koner, Suprosanna Shit, Volker Tresp
The extraction of a scene graph with objects as nodes and mutual relationships as edges is the basis for a deep understanding of image content. Despite recent advances, such as mes…
Search for Better Students to Learn Distilled Knowledge
Jindong Gu, Volker Tresp
Knowledge Distillation, as a model compression technique, has received great attention. The knowledge of a well-performed teacher is distilled to a student with a small architectur…
Improving the Robustness of Capsule Networks to Image Affine Transformations
Jindong Gu, Volker Tresp
Convolutional neural networks (CNNs) achieve translational invariance by using pooling operations. However, the operations do not preserve the spatial relationships in the learned…
Semantics for Global and Local Interpretation of Deep Neural Networks
Jindong Gu, Volker Tresp
Deep neural networks (DNNs) with high expressiveness have achieved state-of-the-art performance in many tasks. However, their distributed feature representations are difficult to i…