Search Results - Oksuz, Kemal

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  1. 1
    Imbalance Problems in Object Detection: A Review

    Imbalance Problems in Object Detection: A Review by Oksuz, Kemal, Cam, Baris Can, Kalkan, Sinan, Akbas, Emre

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  2. 2
    One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks

    One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks by Oksuz, Kemal, Cam, Baris Can, Kalkan, Sinan, Akbas, Emre

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  3. 3
    Rank & Sort Loss for Object Detection and Instance Segmentation

    Rank & Sort Loss for Object Detection and Instance Segmentation by Oksuz, Kemal, Cam, Baris Can, Akbas, Emre, Kalkan, Sinan

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  4. 4
    Multitarget tracking performance metric: deficiency aware subpattern assignment

    Multitarget tracking performance metric: deficiency aware subpattern assignment by Oksuz, Kemal, Cemgil, Ali Taylan

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  5. 5
    Generating Positive Bounding Boxes for Balanced Training of Object Detectors

    Generating Positive Bounding Boxes for Balanced Training of Object Detectors by Oksuz, Kemal, Cam, Baris Can, Akbas, Emre, Kalkan, Sinan

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  6. 6
    Correlation Loss: Enforcing Correlation between Classification and Localization

    Correlation Loss: Enforcing Correlation between Classification and Localization by Kahraman, Fehmi, Oksuz, Kemal, Kalkan, Sinan, Akbas, Emre

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  7. 7
    Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration

    Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration by Oksuz, Kemal, Joy, Tom, Dokania, Puneet K

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  8. 8
    On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines

    On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines by Kuzucu, Selim, Oksuz, Kemal, Sadeghi, Jonathan, Dokania, Puneet K

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  9. 9
    MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

    MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection by Oksuz, Kemal, Kuzucu, Selim, Joy, Tom, Dokania, Puneet K

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  10. 10
    Correlation Loss: Enforcing Correlation between Classification and Localization

    Correlation Loss: Enforcing Correlation between Classification and Localization by Kahraman, Fehmi, Oksuz, Kemal, Kalkan, Sinan, Akbas, Emre

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  11. 11
    Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation

    Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation by Eiras, Francisco, Oksuz, Kemal, Bibi, Adel, Torr, Philip H S, Dokania, Puneet K

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  12. 12
    Bucketed Ranking-based Losses for Efficient Training of Object Detectors

    Bucketed Ranking-based Losses for Efficient Training of Object Detectors by Yavuz, Feyza, Baris Can Cam, Adnan Harun Dogan, Oksuz, Kemal, Akbas, Emre, Kalkan, Sinan

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  13. 13
    What Makes and Breaks Safety Fine-tuning? A Mechanistic Study

    What Makes and Breaks Safety Fine-tuning? A Mechanistic Study by Jain, Samyak, Ekdeep Singh Lubana, Oksuz, Kemal, Joy, Tom, Torr, Philip H S, Sanyal, Amartya, Dokania, Puneet K

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  14. 14
    One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks

    One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks by Oksuz, Kemal, Baris Can Cam, Kalkan, Sinan, Akbas, Emre

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  15. 15
    Rank & Sort Loss for Object Detection and Instance Segmentation

    Rank & Sort Loss for Object Detection and Instance Segmentation by Oksuz, Kemal, Baris Can Cam, Akbas, Emre, Kalkan, Sinan

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  16. 16
    A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection

    A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection by Oksuz, Kemal, Baris Can Cam, Akbas, Emre, Kalkan, Sinan

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  17. 17
    Generating Positive Bounding Boxes for Balanced Training of Object Detectors

    Generating Positive Bounding Boxes for Balanced Training of Object Detectors by Oksuz, Kemal, Baris Can Cam, Akbas, Emre, Kalkan, Sinan

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  18. 18
    Imbalance Problems in Object Detection: A Review

    Imbalance Problems in Object Detection: A Review by Oksuz, Kemal, Baris Can Cam, Kalkan, Sinan, Akbas, Emre

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  19. 19
    Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation

    Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation by Oksuz, Kemal, Baris Can Cam, Kahraman, Fehmi, Zeynep Sonat Baltaci, Kalkan, Sinan, Akbas, Emre

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  20. 20
    Localization Recall Precision (LRP): A New Performance Metric for Object Detection

    Localization Recall Precision (LRP): A New Performance Metric for Object Detection by Oksuz, Kemal, Baris Can Cam, Akbas, Emre, Kalkan, Sinan

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