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Image Captioning

781 directly classified papers

Papers per year

Papers

CLIP4IDC: CLIP for Image Difference Captioning IJCNLP 2022
Context-Situated Pun Generation EMNLP 2022
Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models COLING 2022
End-to-End Transformer Based Model for Image Captioning AAAI 2022
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks NIPS 2022
TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training NIPS 2022
A Unified Sequence Interface for Vision Tasks NIPS 2022
Variational Stacked Local Attention Networks for Diverse Video Captioning WACV 2022
Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge EMNLP 2022
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization EMNLP 2022
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning ACL 2022
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning AAAI 2022
3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds CVPR 2022
Understanding Guided Image Captioning Performance across Domains CONLL 2021
Leveraging Human Attention in Novel Object Captioning IJCAI 2021
MiniVQA - A resource to build your tailored VQA competition NAACL 2021
Visual-Textual Attentive Semantic Consistency for Medical Report Generation ICCV 2021
Motion Guided Region Message Passing for Video Captioning ICCV 2021
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning ICCV 2021
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation ICCV 2021
Towards the Unseen: Iterative Text Recognition by Distilling From Errors ICCV 2021
Journalistic Guidelines Aware News Image Captioning EMNLP 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning EMNLP 2021
NICE: Neural Image Commenting with Empathy EMNLP 2021
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering EMNLP 2021