End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

Divergent-convergent Attention for Image Captioning

(2021) Junzhong Ji et al.   PATTERN RECOGNITION

AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference

(2020) Jian-Hao Luo et al.   PATTERN RECOGNITION

Word–Sentence Framework for Remote Sensing Image Captioning

(2020) Qi Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Comprehensive Survey of Deep Learning for Image Captioning

(2019) MD. Zakir Hossain et al.   ACM COMPUTING SURVEYS

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

(2019) Xiaoliang Dai et al.   IEEE TRANSACTIONS ON COMPUTERS

Grow and Prune Compact, Fast, and Accurate LSTMs

(2019) Xiaoliang Dai et al.   IEEE TRANSACTIONS ON COMPUTERS

Structured pruning of recurrent neural networks through neuron selection

(2019) Liangjian Wen et al.   NEURAL NETWORKS

Learning visual relationship and context-aware attention for image captioning

(2019) Junbo Wang et al.   PATTERN RECOGNITION

Neural Image Caption Generation with Weighted Training and Reference

(2018) Guiguang Ding et al.   Cognitive Computation

Phrase-based image caption generator with hierarchical LSTM network

(2018) Ying Hua Tan et al.   NEUROCOMPUTING