Source丨Heart of Autonomous Driving Editor丨Deep Blue Academy What is Multimodal 3D Object Detection? Multimodal 3D object detection is one of the current research hotspots in 3D object detection, mainly referring to the use of cross-modal data to improve the detection accuracy of the model. Generally speaking, multimodal data includes: image data, LiDAR data, millimeter-wave radar … Read more
Most applications of artificial intelligence in medicine utilize a single data modality to address tasks within a narrow scope, such as computed tomography (CT) scans or retinal photographs. However, clinicians integrate multi-source, multimodal data for diagnosis, prognosis assessment, and treatment planning. In this review, the authors explore the applications of multimodal datasets in healthcare, the … Read more
This article is approximately 5400 words, and it is recommended to read in 10minutes From neural search to multimodal applications, here neural search refers to the use of neural network models in search systems. When it comes to neural search, multimodal data inevitably comes to mind because the greatest advantage of neural networks over traditional … Read more
This article is approximately 4200 words long, and it is recommended to read it in 8 minutes This article introduces the exploration and sharing of lightweight adaptation techniques for multimodal pre-trained models. Pre-trained language models such as BERT and GPT-3 have been proven to achieve excellent results in the NLP field. With the gradual maturity … Read more
In recent years, with the improvement of health awareness, thyroid and breast nodules have become increasingly common. However, if they are not detected and diagnosed early, reasonable treatment is the correct solution. Ultrasound is a dual-selection screening method for thyroid and breast nodules, not only because it is inexpensive, but also because the “material” is … Read more
Author / Li Xi 0 Introduction This article organizes previous research on multimodal visual structure learning from a new perspective, focusing on the characteristics and applications of spherical panoramic images. Spherical images are mostly related to fisheye or 360° panoramic views, containing a wealth of structural knowledge, primarily aimed at applications such as autonomous driving, … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is a well-known natural language processing community at home and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Communityis to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home … Read more
MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for the progress of beginners. Reprinted from … Read more
MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
On August 26, 2024, Professor Shen Lin’s team from Peking University Cancer Hospital and Professor Dong Bin’s team from Peking University published a groundbreaking research article titled “Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data” in the journal Signal Transduction and Targeted Therapy (Impact Factor: 40.8). This study … Read more