jialinwu17 / self_critical_vqa
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
☆40Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for self_critical_vqa
- BottomUpTopDown VQA model with question-type debiasing☆23Updated 5 years ago
- Shows visual grounding methods can be right for the wrong reasons! (ACL 2020)☆23Updated 4 years ago
- NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering☆59Updated 3 years ago
- Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019☆94Updated 5 years ago
- Counterfactual Samples Synthesizing for Robust VQA☆76Updated last year
- Code for CVPR'19 "Recursive Visual Attention in Visual Dialog"☆65Updated last year
- Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "☆94Updated 5 years ago
- Code release for Context-Aware Visual Policy Network for Sequence-Level Image Captioning (MM 2018) and Context-Aware Visual Policy Networ…☆47Updated 5 years ago
- Information Maximizing Visual Question Generation☆66Updated last year
- Code release for Learning to Assemble Neural Module Tree Networks for Visual Grounding (ICCV 2019)☆37Updated 4 years ago
- Heterogeneous Memory Enhanced Multimodal Attention Model for VideoQA☆54Updated 3 years ago
- Compact Trilinear Interaction for Visual Question Answering (ICCV 2019)☆38Updated 2 years ago
- Code for the model "Heterogeneous Graph Learning for Visual Commonsense Reasoning (NeurlPS 2019)"☆46Updated 4 years ago
- ☆62Updated 2 years ago
- A collections of papers about VQA-CP datasets and their results☆38Updated 2 years ago
- A PyTorch implementation of Dual Attention Network☆30Updated 2 years ago
- ✨ Official PyTorch Implementation for EMNLP'19 Paper, "Dual Attention Networks for Visual Reference Resolution in Visual Dialog"☆45Updated last year
- Code for Greedy Gradient Ensemble for Visual Question Answering （ICCV 2021, Oral）☆26Updated 2 years ago
- A video retrieval dataset How2R and a video QA dataset How2QA☆24Updated 4 years ago
- This is the implementation of self-CIDEr and LSA-based diversity metrics (only for python 2.7).☆36Updated 2 years ago
- Pytorch implementation for our NeurIPS 2019 paper "TAB-VCR: Tags and Attributes based VCR Baselines" https://arxiv.org/abs/1910.14671☆19Updated 3 years ago
- Official implementation of ICCV19 oral paper Zero-Shot grounding of Objects from Natural Language Queries (https://arxiv.org/abs/1908.071…☆69Updated 4 years ago
- ☆32Updated last year
- Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding☆33Updated 5 years ago
- Code for ACL 2020 paper "Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA." Hyounghun Kim, Zineng T…☆34Updated 4 years ago
- ROCK model for Knowledge-Based VQA in Videos☆30Updated 4 years ago
- ☆15Updated 4 years ago
- ☆24Updated 3 years ago
- Code for the Visual Question Answering (VQA) part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contex…☆35Updated 5 years ago
- A paper list of visual semantic embeddings and text-image retrieval.☆41Updated 3 years ago