2 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
Prakash Mallick, Feras Dayoub, Jamie Sherrah
This paper addresses the significant challenge in open-set object detection (OSOD): the tendency of state-of-the-art detectors to erroneously classify unknown objects as known cate…
Federated Neural Radiance Fields
Lachlan Holden, Feras Dayoub, David Harvey +1
The ability of neural radiance fields or NeRFs to conduct accurate 3D modelling has motivated application of the technique to scene representation. Previous approaches have mainly…
Addressing the Challenges of Open-World Object Detection
David Pershouse, Feras Dayoub, Dimity Miller +1
We address the challenging problem of open world object detection (OWOD), where object detectors must identify objects from known classes while also identifying and continually lea…