Suppressing biased samples for robust vqa
WebSuppressing Biased Samples for Robust VQA IEEE Transactions on Multimedia 2024 Journal article DOI: 10.1109/TMM.2024.3097502 Contributors : Ninglin Ouyang; Qingbao Huang; Pijian Li; Yi Cai; Bin Liu; Ho-fung Leung; Qing Li Show more detail Source : Crossref WebJul 27, 2024 · Language bias is a critical issue in Visual Question Answering (VQA), where models often exploit dataset biases for the final decision without considering the image information. As a result, they suffer from performance drop on out-of-distribution data and inadequate visual explanation. Based on experimental analysis for existing robust VQA …
Suppressing biased samples for robust vqa
Did you know?
WebIn this paper, we propose a debiasing model for robust VQA by Learning to Sample and Prompt to overcome visual shortcut bias and language distribution bias, namely LSP. In specific, we introduce the selective sampling rate in the process of negative image sampling to balance the modality utilization of images and questions. WebSuppressing Biased Samples for Robust VQA. Ninglin Ouyang. School of Electrical Engineering, Guangxi University, Nanning, China, Qingbao Huang. School of Electrical Engineering, the Guangxi Key Laboratory of Multimedia Communications and Network Technology, the Institute of Artificial Intelligence, Guangxi University, Nanning, China
WebOct 10, 2024 · approach, MMBS, for building robust VQA models by Making the Most of Biased Samples. Specifically, we construct positive samples for contrastive learning by eliminating the information related to spurious correlation from the original training samples and explore several strategies to use the constructed WebMar 30, 2024 · However, these models reveal a trade-off that the improvements on OOD data severely sacrifice the performance on the in-distribution (ID) data (which is dominated by the biased samples). Therefore, we propose a novel contrastive learning approach, MMBS, for building robust VQA models by Making the Most of Biased Samples.
WebMar 1, 2024 · Bias (Epidemiology) A Self-supervised Strategy for the Robustness of VQA Models Authors: Jingyu Su Chuanhao Li Chenchen Jing Yuwei Wu Request full-text … Webmany VQA models may only capture the biases between questions and answers in a dataset rather than showing real reasoning abilities. For example, given a question, some VQA models tend to output the answer that occurs frequently in the dataset and ignore the images. Toreduce this tendency,existing methods focus on weakening the language bias.
WebBased on experimental analysis for existing robust VQA methods, we stress the language bias in VQA that comes from two aspects, i.e., distribution bias and shortcut bias. We …
WebExamples include manager-peer review of name-redacted evaluations and the Structured Free Recall Intervention (page 11). Evaluate performance review instruments for bias. … dept of agriculture forestryWebJun 19, 2024 · In return, the performance of these models is further boosted. Extensive ablations have shown the effectiveness of CSS. Particularly, by building on top of the … dept of agriculture florida concealed weaponWebJul 16, 2024 · Article Suppressing Biased Samples for Robust VQA July 2024 IEEE Transactions on Multimedia PP (99):1-1 DOI: 10.1109/TMM.2024.3097502 Authors: … dept of agriculture fort walton beach flWebMore efficiently, for the second scheme, we propose an end-to-end text reading and text-based reasoning framework 1 (Fig. 1 (d)), in which the multimodal textual and visual features provided by text reading are naturally incorporated to downstream VQA process, meanwhile the rich semantics in downstream VQA also contributes to text reading. The ... fiat oetingWebOct 17, 2024 · Based on experimental analysis for existing robust VQA methods, we stress the language bias in VQA that comes from two aspects, i.e., distribution bias and shortcut bias. We further propose a new de-bias framework, Greedy Gradient Ensemble (GGE), which combines multiple biased models for unbiased base model learning. dept of agriculture classesWebOct 10, 2024 · Abstract: Models for Visual Question Answering (VQA) often rely on the spurious correlations, i.e., the language priors, that appear in the biased samples of … dept of agriculture hardiness zonesWebAug 26, 2024 · This type of bias is referred to as Demand Characteristics. When presented with a scale, say a 5-point scale from 1 to 5, people are often biased to only select the … dept of agriculture ny state