Showing 1–17 of 17 results
/ Date/ Name
Mar 21, 2018Adversarial Defense based on Structure-to-Signal AutoencodersApr 25, 2020Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-MemoryMar 22, 2018What do Deep Networks Like to See?Mar 26, 2020P $\approx$ NP, at least in Visual Question AnsweringMay 14, 2021XAI Handbook: Towards a Unified Framework for Explainable AIAug 18, 2023Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision TransformersJan 7, 2021Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksMar 5, 2024TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-SoftmaxApr 11, 2024ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image GenerationJan 1, 2024Diffusion Models, Image Super-Resolution And Everything: A SurveyAug 22, 2021Spatial Transformer Networks for Curriculum LearningAug 15, 2023Dynamic Attention-Guided Diffusion for Image Super-ResolutionJul 10, 2023DWA: Differential Wavelet Amplifier for Image Super-ResolutionSep 27, 2022Hitchhiker's Guide to Super-Resolution: Introduction and Recent AdvancesMar 6, 2024Unlocking Dataset Distillation with Diffusion ModelsApr 23, 2024Fin-Fed-OD: Federated Outlier Detection on Financial Tabular DataApr 4, 2023Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution