Results 41 to 50 of about 59,151 (296)
Few-shot Shadow Removal Method for Text Recognition [PDF]
Jisuanji kexueShadow removal is an important task in the field of computer vision,with the goal of detecting and removing shaded regions from shadow regions in images.As image editing techniques are constrained by the quality of shaded images,existing me-thods exploit
WANG Jiahui, PENG Guangling, DUAN Liang, YUAN Guowu, YUE Kun
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Compound Prototype Matching for Few-Shot Action Recognition
, 2022 Few-shot action recognition aims to recognize novel action classes using only a small number of labeled training samples. In this work, we propose a novel approach that first summarizes each video into compound prototypes consisting of a group of global prototypes and a group of focused prototypes, and then compares video similarity based on the ...
Yifei Huang 0002 +2 more
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Few-shot Long-Tailed Bird Audio Recognition [PDF]
CoRR, 2022 It is easier to hear birds than see them. However, they still play an essential role in nature and are excellent indicators of deteriorating environmental quality and pollution. Recent advances in Deep Neural Networks allow us to process audio data to detect and classify birds.
Marcos V. Conde, Ui-Jin Choi
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Model-Agnostic Few-Shot Open-Set Recognition
CoRR, 2022 Under review.
Malik Boudiaf +6 more
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Glocal Energy-based Learning for Few-Shot Open-Set Recognition
, 2023 Few-shot open-set recognition (FSOR) is a challenging task of great practical value. It aims to categorize a sample to one of the pre-defined, closed-set classes illustrated by few examples while being able to reject the sample from unknown classes.
Wang, P. +5 more
core +1 more source
Few-shot nested named entity recognition
Knowledge-Based SystemsWhile Named Entity Recognition (NER) is a widely studied task, making inferences of entities with only a few labeled data has been challenging, especially for entities with nested structures. Unlike flat entities, entities and their nested entities are more likely to have similar semantic feature representations, drastically increasing difficulties in ...
Hong Ming +4 more
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Cross-Domain Few-Shot Micro-Expression Recognition Incorporating Action Units
IEEE Access, 2021 Micro-expression, different from ordinary facial expressions, is an involuntary, spontaneous, and subtle facial movement that reveals true emotions which people intend to conceal.
Yi Dai, Ling Feng
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, 2023 Mobile applications are widely used for online services sharing a large amount of personal data online. One-time authentication techniques such as passwords and physiological biometrics (e.g., fingerprint, face, and iris) have their own advantages but ...
Finke, Moritz +7 more
core +1 more source
Few-Shot Name Entity Recognition on StackOverflow
2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP)StackOverflow, with its vast question repository and limited labeled examples, raise an annotation challenge for us. We address this gap by proposing RoBERTa+MAML, a few-shot named entity recognition (NER) method leveraging meta-learning. Our approach, evaluated on the StackOverflow NER corpus (27 entity types), achieves a 5% F1 score improvement over ...
Xinwei Chen +3 more
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Few-shot object recognition from machine-labeled web images
, 2017 © 2017 IEEE. With the tremendous advances made by Convolutional Neural Networks (ConvNets) on object recognition, we can now easily obtain adequately reliable machine-labeled annotations easily from predictions by off-the-shelf ConvNets. In this work, we
Linchao Zhu +5 more
core +1 more source