ODRUM22
* *Open-Domain Retrieval Under Multi-Modal Settings
* Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features
* Cross-modal Target Retrieval for Tracking by Natural Language
* Deep Image Retrieval is not Robust to Label Noise
* Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning
* Embedding Arithmetic of Multimodal Queries for Image Retrieval
* Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning
* Object Prior Embedded Network for Query-Agnostic Image Retrieval
8 for ODRUM22
ODRUM23
* *Open-Domain Retrieval Under Multi-Modal Settings
* BMRN: Boundary Matching and Refinement Network for Temporal Moment Localization with Natural Language
* CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
* Curriculum Learning for Data-Efficient Vision-Language Alignment
* Improving language-supervised object detection with linguistic structure analysis
* Making the V in Text-VQA Matter
* T2V2T: Text-to-Video-to-Text Fusion for Text-to-Video Retrieval
* TEVAD: Improved video anomaly detection with captions
* Visual Semantic Relatedness Dataset for Image Captioning
* Weakly Supervised Visual Question Answer Generation
10 for ODRUM23