Results 11 to 20 of about 964,719 (311)
Null-text Inversion for Editing Real Images using Guided Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2022 Recent large-scale text-guided diffusion models provide powerful image generation capabilities. Currently, a massive effort is given to enable the modification of these images using text only as means to offer intuitive and versatile editing tools.
Ron Mokady +4 more
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Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model [PDF]
International Conference on Learning Representations, 2022 Most existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators. In this work, we propose the Denoising Diffusion Null-Space Model (DDNM), a novel zero-shot framework for arbitrary linear IR ...
Yinhuai Wang, Jiwen Yu, Jian Zhang
semanticscholar +1 more source
Training Networks in Null Space of Feature Covariance for Continual Learning [PDF]
Computer Vision and Pattern Recognition, 2021 In the setting of continual learning, a network is trained on a sequence of tasks, and suffers from catastrophic forgetting. To balance plasticity and stability of network in continual learning, in this paper, we propose a novel network training ...
Shipeng Wang +3 more
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Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 The ability to control for the kinds of information encoded in neural representation has a variety of use cases, especially in light of the challenge of interpreting these models.
Shauli Ravfogel +4 more
semanticscholar +1 more source
Comparing spatial null models for brain maps
NeuroImage, 2021 Technological and data sharing advances have led to a proliferation of high-resolution structural and functional maps of the brain. Modern neuroimaging research increasingly depends on identifying correspondences between the topographies of these maps ...
R. Markello, B. Mišić
semanticscholar +1 more source
A Model for Effective Accountability at Public Universities: Mixed Method [PDF]
پژوهش در نظامهای آموزشی, 2019 The purpose of this study was to investigate experts' perceptions and attitudes towards various aspects of public universities accountability in Tehran city. This study used an exploratory mixed methods approach involving 309 faculty members, experts and
abbas abbaspour +3 more
doaj +1 more source
Moral purposes in the Holy Quran [PDF]
پژوهش نامه معارف قرآنی, 2019 One of the cornerstones of the moral order is "moral purpose." The purpose is actually what the act ultimately ends up with. Some Western scholars and contemporary Aristotelian scholars, while pointing out some of the main virtues and realities among ...
Seyyed Mohammad Hoseyn Mousavipour +1 more
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The Functions of Transcendental Ego in Kant's Epistemology [PDF]
حکمت و فلسفه, 2019 Kant's transcendental ego is the absolute and final subject which constitutes the logical foundation of knowledge and experience. It is completely subjective, and as the most necessary and fundamental element in Kant's epistemology is involved in any ...
null null, behzad hassanpour
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The Holographic Nature of Null Infinity [PDF]
SciPost Physics, 2020 We argue that, in a theory of quantum gravity in a four dimensional asymptotically flat spacetime, all information about massless excitations can be obtained from an infinitesimal neighbourhood of the past boundary of future null infinity and does not ...
Alok Laddha +3 more
semanticscholar +1 more source
Face recognition using fine-tuning of Deep Convolutional Neural Network and transfer learning [PDF]
مجله مدل سازی در مهندسی, 2019 Deep learning is one of the most important scopes of the Machine Learning that includes some important architectures. Deep Convolutional Neural Network is one of the attractive architectures that uses in digital image processing.
Razieh Rastgoo, kourosh kiani
doaj +1 more source