Detailclip: Detail-oriented clip for fine-grained tasks
In this paper, we introduce DetailCLIP: A Detail-Oriented CLIP to address the limitations of
contrastive learning-based vision-language models, particularly CLIP, in handling detail …
contrastive learning-based vision-language models, particularly CLIP, in handling detail …
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
Traffic accidents pose a severe global public health issue, leading to 1.19 million fatalities
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
A Karimi Monsefi, P Karisani, M Zhou, S Choi… - Proceedings of the 30th …, 2024 - dl.acm.org
Standard modern machine-learning-based imaging methods have faced challenges in
medical applications due to the high cost of dataset construction and, thereby, the limited …
medical applications due to the high cost of dataset construction and, thereby, the limited …
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
AK Monsefi, P Karisani, M Zhou, S Choi… - arXiv preprint arXiv …, 2024 - arxiv.org
Standard modern machine-learning-based imaging methods have faced challenges in
medical applications due to the high cost of dataset construction and, thereby, the limited …
medical applications due to the high cost of dataset construction and, thereby, the limited …