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Found 7 papers, 3 papers with code
Transformed Residual Quantization for Approximate Nearest Neighbor Search
The success of product quantization (PQ) for fast nearest neighbor search depends on the exponentially reduced complexities of both storage and computation with respect to the codebook size.
Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
In this paper, we introduce attribute-aware fashion-editing, a novel task, to the fashion domain.
Adversarial Code Learning for Image Generation
We conduct the learning in an adversarial learning process, which bears a close resemblance to the original GAN but again shifts the learning from image spaces to prior and latent code spaces.
Learning Tuple Compatibility for Conditional OutfitRecommendation
Our contributions include: 1) Designing a Mixed Category Attention Net (MCAN) which integrates both fine-grained and coarse category information into recommendation and learns the compatibility among fashion tuples.
Cultural Vocal Bursts Intensity Prediction
Recommendation Systems
Instance-level Image Retrieval using Reranking Transformers
Instance-level image retrieval is the task of searching in a large database for images that match an object in a query image.
Ranked #3 on
Image Retrieval
on RParis (Medium)
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
This motivated creation of eProduct, a dataset consisting of 2. 5 million product images towards accelerating development in the areas of self-supervised learning, weakly-supervised learning, and multimodal learning, for fine-grained recognition.
ITEm: Unsupervised Image-Text Embedding Learning for eCommerce
How to teach a model to learn embedding from different modalities without neglecting information from the less dominant modality is challenging.
