[PDF] Top 20 Stacking with Auxiliary Features for Visual Question Answering
Has 10000 "Stacking with Auxiliary Features for Visual Question Answering" found on our website. Below are the top 20 most common "Stacking with Auxiliary Features for Visual Question Answering".
Stacking with Auxiliary Features for Visual Question Answering
... We also experimented with using Earth Mover’s Distance (EMD) to compare heat-maps and found that it worked even better than rank-order corre- lation; however, it came at a cost of high com- putational complexity (O (n 3 ... See full document
10
Stacking With Auxiliary Features for Entity Linking in the Medical Domain
... called Stacking with Auxiliary Features (SWAF) (Rajani and Mooney, 2017) for combining multi- ple diverse ...models. Stacking (Wolpert, 1992) uses supervised learning to train a ... See full document
9
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
... One approach to mitigating bias that has re- cently gained interest is a technique called adver- sarial regularization (AdvReg). In AdvReg, an adversary sub-network performs an inference task based on a subset of the ... See full document
13
Improving Visual Question Answering by Referring to Generated Paragraph Captions
... multi-modal factorized bilinear pooling (MFB) (Yu et al., 2017). This implies that our textual data helps improve VQA model performance by pro- viding clues to answer questions. We run each model five times with ... See full document
7
Dynamic Capsule Attention for Visual Question Answering
... In visual question answering (VQA), recent advances have well advocated the use of attention mechanism to precisely link the question to the potential answer ...the question increases, ... See full document
8
Image Question Answering: A Review
... every question inquires about specifics of different regions in the ...have question-guided attention, which means, the attention based CNNs used in these approaches determines respective regions in the ... See full document
5
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
... or visual information with vector representations trained from large lan- guage or visual datasets has been successfully explored in recent ...as visual question answering require ... See full document
12
Visual TTR Modelling Visual Question Answering in Type Theory with Records
... Visual question answering is a recent popular task in the field of computer ...a visual and linguistic ...implementation features a pipeline that includes object recognition in the form ... See full document
6
Fusion of Detected Objects in Text for Visual Question Answering
... sual features of objects was the most critical fac- tor in obtaining improvements on ...more visual object features we included in the model’s input, the better the model performed, even if they were ... See full document
10
Segmentation Guided Attention Networks for Visual Question Answering
... CNN features, instead of using global features from the entire ...local features extraction of the images from each of these ...CNN features, question features and one of the ... See full document
6
Faithful Multimodal Explanation for Visual Question Answering
... a visual segmentation in the ...detected visual segments as the “interpretable” units used by LIME to explain ...segment’s features with a probability of 0.4. The highly weighted features in ... See full document
10
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
... In this paper, we tackle the general problem of learn- ing end-to-end bilinear models. We propose BLOCK, a Block Superdiagonal Fusion framework for multimodal rep- resentation based on the block-term tensor decomposition ... See full document
8
Analyzing the Behavior of Visual Question Answering Models
... the question (using Long Short-Term Memory (LSTM) recurrent neural network to obtain question ...and question features obtained from the two channels are combined and passed through a fully ... See full document
6
Generating Question Relevant Captions to Aid Visual Question Answering
... also common knowledge, which is usually too hard to directly learn from only a limited number of images with human annotated answers as su- pervision. However, comparatively little previous VQA research has worked on ... See full document
10
Cross-Modal Multistep Fusion Network with Co-Attention for Visual Question Answering
... ABSTRACT Visual question answering (VQA) is receiving increasing attention from researchers in both the computer vision and natural language processing ...and Question-guide Image Attention ... See full document
9
Differential Networks for Visual Question Answering
... During the data embedding phase, the image features are mapped to the size of 36 × 2048 and the text features are mapped to the size of 2400. In the differential fusion phase, the number of hidden layer in ... See full document
8
Data Augmentation for Visual Question Answering
... and question features given to the model as features and answers as ...CNN features from ResNet-152 (He et ...and question features ... See full document
5
The Meaning of “Most” for Visual Question Answering Models
... a visual context, with dif- ferent implications on cognitive ...the question whether the state-of-the-art FiLM VQA model shows preference for one strategy over the ...ditional features influence the ... See full document
10
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering
... for question-answering tasks, as opposed to statistical or neu- ral methods, especially invites techniques for logical ...the question “Does this person have 20/20 vision?” It is reasonable to assume ... See full document
10
Question Answering Using Hierarchical Attention on Top of BERT Features
... of question answering (QA), especially machine comprehension have gained significant popularity over the past few years within the natu- ral language processing and computer vision com- ... See full document
5
Related subjects