69 citations · 137 across the 8 of their papers we have counts for
8 papers
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Recent advances in image captioning have focused on enhancing accuracy by substantially increasing the dataset and model size. While conventional captioning models exhibit high per…
On Distinctive Image Captioning via Comparing and Reweighting
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Recent image captioning models are achieving impressive results based on popular metrics, i.e., BLEU, CIDEr, and SPICE. However, focusing on the most popular metrics that only cons…
Group-based Distinctive Image Captioning with Memory Attention
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Describing images using natural language is widely known as image captioning, which has made consistent progress due to the development of computer vision and natural language gene…
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
A wide range of image captioning models has been developed, achieving significant improvement based on popular metrics, such as BLEU, CIDEr, and SPICE. However, although the genera…
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process
Qingzhong Wang, Antoni B. Chan
Although significant progress has been made in the field of automatic image captioning, it is still a challenging task. Previous works normally pay much attention to improving the…
Describing like humans: on diversity in image captioning
Qingzhong Wang, Antoni B. Chan
Recently, the state-of-the-art models for image captioning have overtaken human performance based on the most popular metrics, such as BLEU, METEOR, ROUGE, and CIDEr. Does this mea…
Gated Hierarchical Attention for Image Captioning
Qingzhong Wang, Antoni B. Chan
Attention modules connecting encoder and decoders have been widely applied in the field of object recognition, image captioning, visual question answering and neural machine transl…
CNN+CNN: Convolutional Decoders for Image Captioning
Qingzhong Wang, Antoni B. Chan
Image captioning is a challenging task that combines the field of computer vision and natural language processing. A variety of approaches have been proposed to achieve the goal of…