On Generalizing Detection Models for Unconstrained Environments

28 Sep 2019  ·  Prajjwal Bhargava ·

Object detection has seen tremendous progress in recent years. However, current algorithms don't generalize well when tested on diverse data distributions... We address the problem of incremental learning in object detection on the India Driving Dataset (IDD). Our approach involves using multiple domain-specific classifiers and effective transfer learning techniques focussed on avoiding catastrophic forgetting. We evaluate our approach on the IDD and BDD100K dataset. Results show the effectiveness of our domain adaptive approach in the case of domain shifts in environments. read more

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Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Object Detection BDD100K hybrid incremental net mAP@0.5 45.7 # 1
Object Detection India Driving Dataset hybrid incremental net mAP@0.5 31.57 # 1


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