zyang-ur / onestage_grounding
A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)
☆144Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for onestage_grounding
- Improving One-stage Visual Grounding by Recursive Sub-query Construction, ECCV 2020☆82Updated 3 years ago
- Code release for Learning to Assemble Neural Module Tree Networks for Visual Grounding (ICCV 2019)☆37Updated 4 years ago
- ☆39Updated last year
- Compact Trilinear Interaction for Visual Question Answering (ICCV 2019)☆38Updated last year
- Official codebase for "Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding"☆21Updated 3 years ago
- Implementation for MAF: Multimodal Alignment Framework☆43Updated 3 years ago
- [ECCV 2020] Official code for "Comprehensive Image Captioning via Scene Graph Decomposition"☆96Updated 3 months ago
- Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.☆63Updated 3 years ago
- AAAI2020-The official implementation of "Learning Cross-modal Context Graph for Visual Grounding"☆57Updated 3 years ago
- Starter Code for VALUE benchmark☆79Updated 2 years ago
- ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration☆56Updated last year
- Learning phrase grounding from captioned images through InfoNCE bound on mutual information☆72Updated 4 years ago
- Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)☆156Updated last year
- An unofficial pytorch implementation of "TransVG: End-to-End Visual Grounding with Transformers".☆51Updated 3 years ago
- Counterfactual Samples Synthesizing for Robust VQA☆76Updated last year
- Preliminary code for reviewers☆12Updated 3 years ago
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆231Updated 2 years ago
- A modular framework for Visual Question Answering research by the FAIR A-STAR team☆45Updated 3 years ago
- [CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias☆116Updated 2 years ago
- ☆65Updated 2 years ago
- [CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)☆67Updated 4 years ago
- Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"☆179Updated 3 years ago
- Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding☆33Updated 5 years ago
- Span-based Localizing Network for Natural Language Video Localization (ACL 2020)☆101Updated 3 years ago
- Accepted by CVPR 2020.☆24Updated 4 months ago
- Bottom-up features extractor implemented in PyTorch.☆71Updated 4 years ago
- A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.☆47Updated 3 years ago
- Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" (NeurIPS 2019)☆64Updated 4 years ago
- Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching☆164Updated 4 years ago
- Adaptive Offline Quintuplet Loss for Image-Text Matching (AOQ)☆34Updated 4 years ago