Multi-label Image Recognition with Partial Labels
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Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Papers
Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL) is designed to train models using a mix of known and unknown labels. Traditional methods rely on semantic or feature correlations to create pseudo-labels for uni…
Multi-label Image Recognition with Partial LabelsSaliency Regularization for Self-Training with Partial Annotations
Partially annotated images are easy to obtain in multi-label classification. However, unknown labels in partially annotated images exacerbate the positive-negative imbalance inherent in multi-label classification, wh…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONMulti-label Image Recognition with Partial LabelsTexts as Images in Prompt Tuning for Multi-Label Image Recognition
Prompt tuning has been employed as an efficient way to adapt large vision-language pre-trained models (e.g. CLIP) to various downstream tasks in data-limited or label-limited settings. Nonetheless, visual data (e.g., ima…
Contrastive LearningMulti-Label Image RecognitionMulti-label Image Recognition with Partial LabelsDualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Solving multi-label recognition (MLR) for images in the low-label regime is a challenging task with many real-world applications. Recent work learns an alignment between textual and visual spaces to compensate for insuff…
Multi-label Image Recognition with Partial LabelsDual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Despite achieving impressive progress, current multi-label image recognition (MLR) algorithms heavily depend on large-scale datasets with complete labels, making collecting large-scale datasets extremely time-consuming a…
image-classificationImage ClassificationMulti-Label Image RecognitionMulti-label Image Recognition with Partial LabelsHeterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly reduce the cost of annotation and thus facilitate large-scale MLR. We find t…
Multi-Label Image RecognitionMulti-label Image Recognition with Partial Labels