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

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

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

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Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation von Çam, Barış Can, Öksüz, Kemal, Kahraman, Fehmi, Baltacı, Zeynep Sonat, Kalkan, Sinan, Akbaş, Emre

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

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

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Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation von Barış Can Çam, Öksüz, Kemal, Kahraman, Fehmi, Zeynep Sonat Baltacı, Kalkan, Sinan, Akbaş, Emre

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

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

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

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

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

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OBJECT DETECTION USING MULTIPLE OBJECT DETECTORS von JOY, Thomas, OKSUZ, Kemal, DOKANIA, Puneet Kumar

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

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

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

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

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

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

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

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