A5085317256- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Robotics and Sensor-Based Localization
- Multimodal Machine Learning Applications
- Smart Agriculture and AI
- Insect and Arachnid Ecology and Behavior
- Date Palm Research Studies
- 3D Shape Modeling and Analysis
Vietnam National University Ho Chi Minh City
2023
Ho Chi Minh City University of Science
2023
The retrieval of 3D objects has gained significant importance in recent years due to its broad range applications computer vision, graphics, virtual reality, and augmented reality. However, the presents challenges intricate nature models, which can vary shape, size, texture, have numerous polygons vertices. To this end, we introduce a novel SHREC challenge track that focuses on retrieving relevant animal models from dataset using sketch queries expedites accessing through available sketches....
3D object retrieval is an important yet challenging task that has drawn more and attention in recent years. While existing approaches have made strides addressing this issue, they are often limited to restricted settings such as image sketch queries, which unfriendly interactions for common users. In order overcome these limitations, paper presents a novel SHREC challenge track focusing on text-based fine-grained of animal models. Unlike previous tracks, the proposed considerably...
Insect pests have always been a global agricultural problem because the severity and extent of their occurrence threaten crop yield. Recognizing them early can help farmers efficient measures to handle them, which mitigate negative impacts from insect pests. However, pest recognition still relies heavily on experts, is expensive time-consuming. With power Deep Learning, we propose two methods solve this task in paper. First, proposed method that uses models pre-trained ImageNet dataset,...