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Caption Generation

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Showing 101–125 of 310 papers

TitleStatusHype
Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback—0
FaceGemma: Enhancing Image Captioning with Facial Attributes for Portrait Images—0
Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech—0
Fast Image Caption Generation with Position Alignment—0
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation—0
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation—0
Hierarchical LSTMs with Adaptive Attention for Visual Captioning—0
FE-LWS: Refined Image-Text Representations via Decoder Stacking and Fused Encodings for Remote Sensing Image Captioning—0
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning—0
Fine-Grained Video Captioning through Scene Graph Consolidation—0
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting—0
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning—0
Identifying Multi-modal Knowledge Neurons in Pretrained Transformers via Two-stage Filtering—0
Fusion Models for Improved Visual Captioning—0
GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance—0
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning—0
Generating captions without looking beyond objects—0
Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks—0
Generating image captions with external encyclopedic knowledge—0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention—0
Empirical Analysis of Image Caption Generation using Deep Learning—0
Geometry-Entangled Visual Semantic Transformer for Image Captioning—0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
E-MMAD: Multimodal Advertising Caption Generation Based on Structured Information—0
Aligning Images and Text with Semantic Role Labels for Fine-Grained Cross-Modal Understanding—0
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