5 papers · 1 filter
A novel Framework for Open-Vocabulary Multi-Object Recognition using CLIP
Wei Yu Chen, Ying Dai
To address the limitations of existing open-vocabulary object recognition methods, including high system complexity, substantial training costs, and limited generalization capabili…
A Training-Free Framework for Open-Vocabulary Image Segmentation and Recognition with EfficientNet and CLIP
Ying Dai, Wei Yu Chen
This paper presents a novel training-free framework for open-vocabulary image segmentation and object recognition (OVSR), which leverages EfficientNetB0, a convolutional neural net…
Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation
Ying Dai
For open vocabulary recognition of ingredients in food images, segmenting the ingredients is a crucial step. This paper proposes a novel approach that explores PCA-based feature re…
Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model
Kun Fu, Ying Dai
Recognizing food images presents unique challenges due to the variable spatial layout and shape changes of ingredients with different cooking and cutting methods. This study introd…
Sample-specific repetitive learning for photo aesthetic assessment and highlight region extraction
Ying Dai
Aesthetic assessment is subjective, and the distribution of the aesthetic levels is imbalanced. In order to realize the auto-assessment of photo aesthetics, we focus on retraining…