31 citations · 135 across the 20 of their papers we have counts for
7 papers · 1 filter
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
Wei Suo, Mengyang Sun, Weisong Liu +4
VQA Natural Language Explanation (VQA-NLE) task aims to explain the decision-making process of VQA models in natural language. Unlike traditional attention or gradient analysis, fr…
AerialVLN: Vision-and-Language Navigation for UAVs
Shubo Liu, Hongsheng Zhang, Yuankai Qi +3
Recently emerged Vision-and-Language Navigation (VLN) tasks have drawn significant attention in both computer vision and natural language processing communities. Existing VLN tasks…
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning
Shengqin Jiang, Yaoyu Fang, Haokui Zhang +4
Rehearsal-based video incremental learning often employs knowledge distillation to mitigate catastrophic forgetting of previously learned data. However, this method faces two major…
Multimodal Short Video Rumor Detection System Based on Contrastive Learning
Yuxing Yang, Junhao Zhao, Siyi Wang +3
With the rise of short video platforms as prominent channels for news dissemination, major platforms in China have gradually evolved into fertile grounds for the proliferation of f…
Dual-Level Decoupled Transformer for Video Captioning
Yiqi Gao, Xinglin Hou, Wei Suo +4
Video captioning aims to understand the spatio-temporal semantic concept of the video and generate descriptive sentences. The de-facto approach to this task dictates a text generat…
CapOnImage: Context-driven Dense-Captioning on Image
Yiqi Gao, Xinglin Hou, Yuanmeng Zhang +3
Existing image captioning systems are dedicated to generating narrative captions for images, which are spatially detached from the image in presentation. However, texts can also be…
HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
Yanyuan Qiao, Yuankai Qi, Yicong Hong +3
Pre-training has been adopted in a few of recent works for Vision-and-Language Navigation (VLN). However, previous pre-training methods for VLN either lack the ability to predict f…