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Pre-training & fine-tuning can enhance the transferring efficiency and performance in visual tasks.
To tune or not to tune? adapting pretrained representations to diverse tasks
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MMDetection: Open mmlab detection toolbox and benchmark
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How transferable are features in deep neural networks?
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The pascal visual object classes challenge: A retrospective
Everingham, M.; Eslami, S.; Van Gool, L.; Williams, C. K.; Winn, J.; and Zisserman, A. 2015 · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Fine-tuning deep neural networks in continuous learning scenarios
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Understanding of a convolutional neural network
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Recent advances in convolutional neural networks
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Convolution kernel size effect on convolutional neural network in histopathological image processing applications
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Parameter-efficient transfer learning for NLP
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Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy
Agrawal, A.; and Mittal, N. 2020 · 2020
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GPT-3: Its nature, scope, limits, and consequences
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification
Rathnayake, H.; Sumanapala, J.; Rukshani, R.; and Ranathunga, S. 2022 · 2022
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Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks
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Using pre-trained models to boost code review automation
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Pre-Training and Fine-Tuning
Wang, J.; and Chen, Y. 2022 · 2022
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SAM-Adapter: Adapting Segment Anything in Underperformed Scenes
Chen, T.; Zhu, L.; Deng, C.; Cao, R.; Wang, Y.; Zhang, S.; Li, Z.; Sun, L.; Zang, Y.; and Mao, P. 2023 · 2023
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Parameter-efficient fine-tuning of large-scale pre-trained language models
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Impacts of Kernel size on different resized images in object recognition based on convolutional neural network
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Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
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Lora: Low-rank adaptation of large language models
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Prompt-aligned gradient for prompt tuning
Zhu, B.; Niu, Y.; Han, Y.; Wu, Y.; and Zhang, H. 2023 · 2023
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STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery
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