Panoptic scene graph generation with semantics-prototype learning
Panoptic Scene Graph Generation (PSG) parses objects and predicts their relationships
(predicate) to connect human language and visual scenes. However, different language …
(predicate) to connect human language and visual scenes. However, different language …
Global in local: A convolutional transformer for SAR ATR FSL
Convolutional neural networks (CNNs) have dominated the synthetic aperture radar (SAR)
automatic target recognition (ATR) for years. However, under limited SAR images, the width …
automatic target recognition (ATR) for years. However, under limited SAR images, the width …
Leveraging multimodal features and item-level user feedback for bundle construction
Automatic bundle construction is a crucial prerequisite step in various bundle-aware online
services. Previous approaches are mostly designed to model the bundling strategy of …
services. Previous approaches are mostly designed to model the bundling strategy of …
SAR target image generation method using azimuth-controllable generative adversarial network
Sufficient synthetic aperture radar (SAR) target images are very important for the
development of research works. However, available SAR target images are often limited in …
development of research works. However, available SAR target images are often limited in …
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation
Product bundling has evolved into a crucial marketing strategy in e-commerce. However,
current studies are limited to generating (1) fixed-size or single bundles, and most …
current studies are limited to generating (1) fixed-size or single bundles, and most …
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling
Product bundling has been a prevailing marketing strategy that is beneficial in the online
shopping scenario. Effective product bundling methods depend on high-quality item …
shopping scenario. Effective product bundling methods depend on high-quality item …
Harnessing Large Language Models for Multimodal Product Bundling
Product bundling provides clients with a strategic combination of individual items. And it has
gained significant attention in recent years as a fundamental prerequisite for online services …
gained significant attention in recent years as a fundamental prerequisite for online services …
Adaptive In-Context Learning with Large Language Models for Bundle Generation
Most existing bundle generation approaches fall short in generating fixed-size bundles.
Furthermore, they often neglect the underlying user intents reflected by the bundles in the …
Furthermore, they often neglect the underlying user intents reflected by the bundles in the …
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
How can we recommend cold-start bundles to users? The cold-start problem in bundle
recommendation is crucial because new bundles are continuously created on the Web for …
recommendation is crucial because new bundles are continuously created on the Web for …
DHCL-BR: Dual Hypergraph Contrastive Learning for Bundle Recommendation
P Zhang, Z Niu, R Ma, F Zhang - The Computer Journal, 2024 - academic.oup.com
As an extension of conventional top-K item recommendation solution, bundle
recommendation has aroused increasingly attention. However, because of the extreme …
recommendation has aroused increasingly attention. However, because of the extreme …