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Detect known and also unknown objects which are later labeled and added without forgetting

Detect known and also unknown objects which are later labeled and added without forgetting


Revisiting Open World Object Detection



Open World Object Detection (OWOD), simulating the real dynamic world where knowledge grows continuously, attempts to detect both known and unknown classes and incrementally learn the identified unknown ones.


... previous OWOD work ... the experimental settings are unreasonable with the illogical benchmark, confusing metric calculation, and inappropriate method.


... propose five fundamental benchmark principles to guide the OWOD benchmark construction.


... Furthermore, we introduce a novel and effective OWOD framework containing an auxiliary Proposal ADvisor (PAD) and a Class-specific Expelling Classifier (CEC).


... identifying accurate unknown proposals without supervision, while CEC calibrates the over-confident activation boundary and filters out confusing predictions through a class-specific expelling function.


... fair benchmark demonstrate that our method outperforms other state-of-the-art object detection approaches in terms of both existing and our new metrics. ...



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