4 citations · 7 across the 4 of their papers we have counts for
4 papers
Dynamic Contrastive Distillation for Image-Text Retrieval
Jun Rao, Liang Ding, Shuhan Qi +4
Although the vision-and-language pretraining (VLP) equipped cross-modal image-text retrieval (ITR) has achieved remarkable progress in the past two years, it suffers from a major d…
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Zhihao Cheng, Liu Liu, Aishan Liu +3
Imitation learning from observation (LfO) is more preferable than imitation learning from demonstration (LfD) due to the nonnecessity of expert actions when reconstructing the expe…
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li, Lequan Yu, Chi-Wing Fu +2
The goal of few-shot learning is to recognize new visual concepts with just a few amount of labeled samples in each class. Recent effective metric-based few-shot approaches employ…
Towards Query Efficient Black-box Attacks: An Input-free Perspective
Yali Du, Meng Fang, Jinfeng Yi +2
Recent studies have highlighted that deep neural networks (DNNs) are vulnerable to adversarial attacks, even in a black-box scenario. However, most of the existing black-box attack…