activity
20202024
most citedDepth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

51 citations · 91 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Beyond Isolated Heads: Multi-Overlapped-Head Self-Attention for Vision Transformers

Tianxiao Zhang, Bo Luo, Guanghui Wang

Multi-Head Self-Attention (MHSA) is the cornerstone of Vision Transformers, allowing models to capture diverse feature representations by projecting tokens into independent subspac…

cs.CV2024★ 51 cited

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

Tianxiao Zhang, Wenju Xu, Bo Luo +1

The Vision Transformer (ViT) leverages the Transformer's encoder to capture global information by dividing images into patches and achieves superior performance across various comp…

cs.CV2023★ 1 cited

Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models

Tianxiao Zhang, Kaidong Li, Xiangyu Chen +7

Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying…

cs.CV2023★ 2 cited

A New Dataset and Comparative Study for Aphid Cluster Detection

Tianxiao Zhang, Kaidong Li, Xiangyu Chen +7

Aphids are one of the main threats to crops, rural families, and global food security. Chemical pest control is a necessary component of crop production for maximizing yields, howe…

cs.CV2023

Gender, Smoking History and Age Prediction from Laryngeal Images

Tianxiao Zhang, Andrés M. Bur, Shannon Kraft +5

Flexible laryngoscopy is commonly performed by otolaryngologists to detect laryngeal diseases and to recognize potentially malignant lesions. Recently, researchers have introduced…

cs.CV2022★ 35 cited

Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs

Tianxiao Zhang, Bo Luo, Ajay Sharda +1

Label assignment plays a significant role in modern object detection models. Detection models may yield totally different performances with different label assignment strategies. F…