research
∙
09/16/2023
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
Cross-modal retrieval (CMR) has been extensively applied in various doma...
share
research
∙
11/16/2022
Hierarchical Dynamic Image Harmonization
Image harmonization is a critical task in computer vision, which aims to...
research
∙
07/25/2022
Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval
In recent years, Cross-Modal Hashing (CMH) has aroused much attention du...
research
∙
07/16/2022
Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training
Instance discrimination contrastive learning (CL) has achieved significa...
research
∙
12/13/2021
Shaping Visual Representations with Attributes for Few-Shot Learning
Few-shot recognition aims to recognize novel categories under low-data r...
research
∙
09/27/2021
Sparse Spatial Transformers for Few-Shot Learning
Learning from limited data is a challenging task since the scarcity of d...
research
∙
03/21/2021
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
Few-shot image classification aims at recognizing unseen categories with...
research
∙
03/21/2021
Multi-level Metric Learning for Few-shot Image Recognition
Few-shot learning is devoted to training a model on few samples. Recentl...
research
∙
11/30/2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
The goal of few-shot learning is to classify unseen categories with few ...
research
∙
02/19/2019