1 citations · 1 across the 7 of their papers we have counts for
7 papers
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…
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
Heng Fang, Sheng Huang, Wenhao Tang +2
Multiple Instance Learning (MIL) represents the predominant framework in Whole Slide Image (WSI) classification, covering aspects such as sub-typing, diagnosis, and beyond. Current…
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
Yijie Wang, Mingjian Hong, Luwen Huangfu +1
In the realm of Zero-Shot Learning (ZSL), we address biases in Generalized Zero-Shot Learning (GZSL) models, which favor seen data. To counter this, we introduce an end-to-end gene…
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
Wenhao Tang, Fengtao Zhou, Sheng Huang +3
Multiple instance learning (MIL) is the most widely used framework in computational pathology, encompassing sub-typing, diagnosis, prognosis, and more. However, the existing MIL pa…
Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection
Tao He, Sheng Huang, Wenhao Tang +1
Scene text detection is a challenging computer vision task due to the high variation in text shapes and ratios. In this work, we propose a scene text detector named Deformable Kern…
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…
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…