research
∙
05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
share
research
∙
03/30/2023
Going Beyond Nouns With Vision Language Models Using Synthetic Data
Large-scale pre-trained Vision Language (VL) models have shown remar...
research
∙
11/25/2022
MAEDAY: MAE for few and zero shot AnomalY-Detection
The goal of Anomaly-Detection (AD) is to identify outliers, or outlying ...
research
∙
11/21/2022
Teaching Structured Vision Language Concepts to Vision Language Models
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
research
∙
04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
research
∙
03/15/2020
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
In this paper, we propose a new few-shot learning method called StarNet,...
research
∙
12/02/2019
DEGAS: Differentiable Efficient Generator Search
Network architecture search (NAS) achieves state-of-the-art results in v...
research
∙
12/01/2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Few-Shot Learning (FSL) is a topic of rapidly growing interest. Typicall...
research
∙
04/08/2019