3 papers
cs.CV2024
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
Jiexuan Yan, Sheng Huang, Nankun Mu +2
Real-world data consistently exhibits a long-tailed distribution, often spanning multiple categories. This complexity underscores the challenge of content comprehension, particular…
cs.CV2022
Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition
Rong Qin, Luwen Huangfu, Devon Hood +2
Pavement Distress Recognition (PDR) is an important step in pavement inspection and can be powered by image-based automation to expedite the process and reduce labor costs. Pavemen…
cs.CV2022
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification
Wenhao Tang, Sheng Huang, Xiaoxian Zhang +1
Automatic pavement distress classification facilitates improving the efficiency of pavement maintenance and reducing the cost of labor and resources. A recently influential branch…