Your negative may not be true negative: Boosting image-text matching with false negative elimination
Most existing image-text matching methods adopt triplet loss as the optimization objective,
and choosing a proper negative sample for the triplet of< anchor, positive, negative> is …
and choosing a proper negative sample for the triplet of< anchor, positive, negative> is …
A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net
H Zhou, Y Hu, S Liu, G Zhou, J Xu, A Chen… - Plant …, 2024 - spj.science.org
Cross-modal retrieval for rice leaf diseases is crucial for prevention, providing agricultural
experts with data-driven decision support to address disease threats and safeguard rice …
experts with data-driven decision support to address disease threats and safeguard rice …
High-Accuracy Tomato Leaf Disease Image-Text Retrieval Method Utilizing LAFANet
J Xu, H Zhou, Y Hu, Y Xue, G Zhou, L Li, W Dai, J Li - Plants, 2024 - mdpi.com
Tomato leaf disease control in the field of smart agriculture urgently requires attention and
reinforcement. This paper proposes a method called LAFANet for image-text retrieval, which …
reinforcement. This paper proposes a method called LAFANet for image-text retrieval, which …