activity
20222026
most citedChallenges and Trends in Egocentric Vision: A Survey

2 citations · 6 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024★ 1 cited

ARIC: An Activity Recognition Dataset in Classroom Surveillance Images

Linfeng Xu, Fanman Meng, Qingbo Wu +16

The application of activity recognition in the ``AI + Education" field is gaining increasing attention. However, current work mainly focuses on the recognition of activities in man…

cs.CV2024★ 1 cited

Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation

Zhaofeng Shi, Heqian Qiu, Lanxiao Wang +3

In this paper, we explore a novel Text-supervised Egocentic Semantic Segmentation (TESS) task that aims to assign pixel-level categories to egocentric images weakly supervised by t…

cs.CV2024

Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt

Xingtao Lin, Heqian Qiu, Lanxiao Wang +3

Recent advancements in prompt tuning have successfully adapted large-scale models like Contrastive Language-Image Pre-trained (CLIP) for downstream tasks such as scene text detecti…

cs.LG2024

Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion

Shaoxu Cheng, Kanglei Geng, Chiyuan He +7

Continual Learning (CL) aims to enable Deep Neural Networks (DNNs) to learn new data without forgetting previously learned knowledge. The key to achieving this goal is to avoid con…

cs.CV2024

Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning

Jian Jiao, Yu Dai, Hefei Mei +5

Recent video class-incremental learning usually excessively pursues the accuracy of the newly seen classes and relies on memory sets to mitigate catastrophic forgetting of the old…

cs.CV2024★ 1 cited

MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning

Huiyu Xiong, Lanxiao Wang, Heqian Qiu +3

To address the problem of catastrophic forgetting due to the invisibility of old categories in sequential input, existing work based on relatively simple categorization tasks has m…