44 citations · 60 across the 4 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering
Violetta Shevchenko, Ehsan Abbasnejad, Anthony Dick +2
The availability of clean and diverse labeled data is a major roadblock for training models on complex tasks such as visual question answering (VQA). The extensive work on large vi…
cs.CV2016★ 44 cited
Visual Question Answering: A Survey of Methods and Datasets
Qi Wu, Damien Teney, Peng Wang +3
Visual Question Answering (VQA) is a challenging task that has received increasing attention from both the computer vision and the natural language processing communities. Given an…
cs.CV2012★ 11 cited
Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning
Xi Li, Chunhua Shen, Qinfeng Shi +2
Most sparse linear representation-based trackers need to solve a computationally expensive L1-regularized optimization problem. To address this problem, we propose a visual tracker…