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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images CVPR 2020
VIBE: Video Inference for Human Body Pose and Shape Estimation CVPR 2020
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing CVPR 2020
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020
Structure-Preserving Super Resolution With Gradient Guidance CVPR 2020
Model Adaptation: Unsupervised Domain Adaptation Without Source Data CVPR 2020
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes CVPR 2020
Reciprocal Learning Networks for Human Trajectory Prediction CVPR 2020
On Positive-Unlabeled Classification in GAN CVPR 2020
Noise Robust Generative Adversarial Networks CVPR 2020
Towards Robust Image Classification Using Sequential Attention Models CVPR 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion CVPR 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020
High-Resolution Daytime Translation Without Domain Labels CVPR 2020
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction CVPR 2020
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization CVPR 2020
Attack to Explain Deep Representation CVPR 2020
Learning Dynamic Relationships for 3D Human Motion Prediction CVPR 2020
Learning to Cartoonize Using White-Box Cartoon Representations CVPR 2020
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks CVPR 2020
State-Relabeling Adversarial Active Learning CVPR 2020
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning CVPR 2020
Progressive Adversarial Networks for Fine-Grained Domain Adaptation CVPR 2020
Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020