Research map / Detection and segmentation / Weakly supervised detection and segmentation
Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| link visual features to tags with a deep architecture jointly with a nonnegative low-rank model (WDNL) | WDNL vs best baseline · MIRFlickr tag refinement | MicroAUC: 0.644 -> 0.685 | Helped |
| link visual features to tags with a deep architecture jointly with a nonnegative low-rank model (WDNL) | WDNL vs best baseline · NUS-WIDE tag refinement | MicroAUC: 0.770 -> 0.789 | Helped |
| link visual features to tags with a deep architecture jointly with a nonnegative low-rank model (WDNL) | WDNL vs best baseline · NUS-WIDE tag assignment | MacroAUC: 0.643 -> 0.671 | Helped |
| link visual features to tags with a deep architecture jointly with a nonnegative low-rank model (WDNL) | WDNL vs best baseline · MIRFlickr tag assignment | MicroAUC: 0.642 -> 0.665 | Helped |
| use deep CNN-based representations instead of CCA on shallow features (CCA to CCA-CNN) | CCA · MIRFlickr tag refinement | MicroAUC: 0.583 -> 0.644 | Helped |
Closest papers by meaning
- Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement (AAAI 2018 · similarity 0.91)
- Weakly Supervised Deep Image Hashing Through Tag Embeddings (CVPR 2019 · similarity 0.86)
- Fast Zero-Shot Image Tagging (CVPR 2016 · similarity 0.85)
- Revisiting Weakly Supervised Pre-Training of Visual Perception Models (CVPR 2022 · similarity 0.85)
- Tagging Like Humans: Diverse and Distinct Image Annotation (CVPR 2018 · similarity 0.85)
- Separating Self-Expression and Visual Content in Hashtag Supervision (CVPR 2018 · similarity 0.84)
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