31 citations · 135 across the 20 of their papers we have counts for
6 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…
SCOTT: Self-Consistent Chain-of-Thought Distillation
Peifeng Wang, Zhengyang Wang, Zheng Li +3
Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) promptin…
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
Wei Dong, Dawei Yan, Peng Wang
Self-supervised node representation learning aims to learn node representations from unlabelled graphs that rival the supervised counterparts. The key towards learning informative…