Attribute
1451 papers with code • 1 benchmarks • 1 datasets
Libraries
Use these libraries to find Attribute models and implementations
CityFlow
Most implemented papers
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
betterze/StyleSpace
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CVPR 2021
Manipulation of visual attributes via these StyleSpace controls is shown to be better disentangled than via those proposed in previous works.
Age Progression/Regression by Conditional Adversarial Autoencoder
aicip/face-aging-caae
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CVPR 2017
In CAAE, the face is first mapped to a latent vector through a convolutional encoder, and then the vector is projected to the face manifold conditional on age through a deconvolutional generator.
Visual Attribute Transfer through Deep Image Analogy
We propose a new technique for visual attribute transfer across images that may have very different appearance but have perceptually similar semantic structure.
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
ShawnDing1994/ACNet
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ICCV 2019
We propose Asymmetric Convolution Block (ACB), an architecture-neutral structure as a CNN building block, which uses 1D asymmetric convolutions to strengthen the square convolution kernels.
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups.
Multi-scale Attributed Node Embedding
We present network embedding algorithms that capture information about a node from the local distribution over node attributes around it, as observed over random walks following an approach similar to Skip-gram.
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute localization, which unifies instance segmentation (detect and segment each object instance) and fine-grained visual attribute categorization (recognize one or multiple attributes).
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
whwu95/BIKE
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CVPR 2023
In this paper, we propose a novel framework called BIKE, which utilizes the cross-modal bridge to explore bidirectional knowledge: i) We introduce the Video Attribute Association mechanism, which leverages the Video-to-Text knowledge to generate textual auxiliary attributes for complementing video recognition.
Elucidating the Exposure Bias in Diffusion Models
In this paper, we systematically investigate the exposure bias problem in diffusion models by first analytically modelling the sampling distribution, based on which we then attribute the prediction error at each sampling step as the root cause of the exposure bias issue.
CNN Features off-the-shelf: an Astounding Baseline for Recognition
baldassarreFe/deep-koalarization
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We report on a series of experiments conducted for different recognition tasks using the publicly available code and model of the \overfeat network which was trained to perform object classification on ILSVRC13.
