Image captioning is a well-known task of generating textual description of a given image. Research work on this problem statement requires efforts in both computer vision and natural language processing domains to obtain better quality image descriptions. In this paper, we are proposing a new deep...
Image Captioning using ResNet and LSTMAnkan Ghosh December 31, 2024 2 Comments Computer Vision Deep Learning NLP Imagine you’re watching a travel vlog on YouTube, and you turn on the image captions feature. As the video shows a stunning view of Mount Fuji, a caption appears: “Snow-...
captioning models. Highlighting practical applications in healthcare, autonomous vehicles, and entertainment, the review underlines the broad-ranging implications of image caption generation. It explores future approaches such as multimodal data integration and advancements in unsupervised learning, addressing ch...
H. ClipCap: CLIP prefix for image captioning. Preprint at https://arxiv.org/abs/2111.09734 (2021). Koch, G., Zemel, R. & Salakhutdinov, R. Siamese neural networks for one-shot image recognition. In Proc. 32nd International Conference on Machine Learning (JMLR, 2015). Huang, G., Liu...
In recent years, microwave imaging (MWI) has emerged as a non-ionizing and cost-effective modality in healthcare, specifically within medical imaging. Concurrently, advances in artificial intelligence (AI) have significantly augmented the capabilities of
Use chatbots and AI virtual assistants to resolve customer inquiries and provide valuable information outside of human agents' normal business hours. Engaging Experiences Offer engaging experiences with capabilities like live captioning, generating expressive synthetic voices, and understanding customer prefer...
CA-Captioner: A novel concentrated attention for image captioning Xiaobao Yang, Yang Yang, Junsheng Wu, Wei Sun, ... Zhiqiang Hou Article 123847 Article preview select article Open-set adversarial domain match for electronic nose drift compensation and unknown gas recognition Research articleAbstract ...
[ICASSP 2024] Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning [pdf] [AAAI 2024] PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation [pdf] [WACV 2024] Complex Organ Mask Guided Radiology Report Generation [pdf] [code] [TMM 2024] ...
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis [2023].Shaoting Zhang, Dimitris Metaxas[PDF] Survey of Protein Sequence Embedding Models [2023].Chau Tran, Siddharth Khadkikar, Aleksey Porollo[PDF] A Short Survey of Viewing Large Language Models in Legal Aspect ...
Supports many applications, including Speech Recognition, Machine Translation, Image Recognition, Image Captioning, Text Processing and Relevance, Language Understanding, Language Modeling Yes * Cylance Advanced machine leaning end point malware detection solution End Point malware detection build using GPU ...