Attribute
1410 papers with code • 1 benchmarks • 1 datasets
Libraries
Use these libraries to find Attribute models and implementations
CityFlow
Most implemented papers
Learning Deep Representations of Fine-grained Visual Descriptions
hanzhanggit/StackGAN-v2
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CVPR 2016
State-of-the-art methods for zero-shot visual recognition formulate learning as a joint embedding problem of images and side information.
RGB-D Salient Object Detection: A Survey
Further, considering that the light field can also provide depth maps, we review SOD models and popular benchmark datasets from this domain as well.
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Arbitrary attribute editing generally can be tackled by incorporating encoder-decoder and generative adversarial networks.
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
In comparison with person re-identification (ReID), which has been widely studied in the research community, vehicle ReID has received less attention.
Equality of Opportunity in Supervised Learning
We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to predict some target based on available features.
Diverse Image-to-Image Translation via Disentangled Representations
HsinYingLee/DRIT
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ECCV 2018
Our model takes the encoded content features extracted from a given input and the attribute vectors sampled from the attribute space to produce diverse outputs at test time.
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
switchablenorms/CelebAMask-HQ
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CVPR 2020
To overcome these drawbacks, we propose a novel framework termed MaskGAN, enabling diverse and interactive face manipulation.
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
uber-research/PPLM
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ICLR 2020
Large transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities.
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
lijuncen/Sentiment-and-Style-Transfer
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NAACL 2018
We consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e. g., sentiment) while preserving its attribute-independent content (e. g., changing "screen is just the right size" to "screen is too small").
Masked Language Model Scoring
awslabs/mlm-scoring
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ACL 2020
Instead, we evaluate MLMs out of the box via their pseudo-log-likelihood scores (PLLs), which are computed by masking tokens one by one.
