The few-shot problem in image tasks (where insufficient training data makes it difficult for models to learn effective and generalized features) is widespread due to challenges such as high costs of data labeling and uneven sample distribution. This can lead to models overfitting on few samples and classifiers being biased towards the majority class due … Read more
Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Reprinted from | Smarter From DETR to ViT, various works have validated the potential of Transformers in the field of computer vision. Naturally, this raises a new question: which is better for image feature extraction, CNN or Transformer? The advantage of … Read more
MLNLP is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, as well as enthusiasts, … Read more
Transformers have brought tremendous advancements to various natural language tasks and have recently begun to penetrate the field of computer vision, starting to show potential in tasks previously dominated by CNNs. A recent study from the University of California, San Diego, and Google Research proposed using visual Transformers to train GANs. To effectively apply this … Read more
Click the “CVer” above to add it to your “Favorites” list. Essential insights delivered promptly. This article is reprinted from: Smarter Since the introduction of the Transformer, it has dominated the NLP field. However, its impact in the CV domain has been moderate, with initial thoughts suggesting it was unsuitable for CV until recently. A … Read more
New Intelligence Report Source: Microsoft Editor: LRS, Xiao Yun [New Intelligence Guide] Microsoft has published a new paper on arxiv, bringing CNN into Transformer to simultaneously consider global and local information. In the development of computer vision technology, the most important model is the Convolutional Neural Network (CNN), which serves as the foundation for other … Read more
Connect Everything with AI Connecting Everything with AI In 1995, Mamoru Oshii adapted Masamune Shirow’s sci-fi manga “Ghost in the Shell” into a theatrical release, where the protagonist, Motoko Kusanagi, is one of the first humans to undergo full-body cyborg transformation. In the movie poster, Kusanagi is depicted nude, connected to mechanical devices, except for … Read more