8 citations · 22 across the 17 of their papers we have counts for
Showing 2022 · cs.CVShow all
3 papers · 2 filters
cs.CV2022★ 1 cited
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
Nazmul Karim, Umar Khalid, Ashkan Esmaeili +1
The task of continual learning requires careful design of algorithms that can tackle catastrophic forgetting. However, the noisy label, which is inevitable in a real-world scenario…
cs.CV2022★ 5 cited
Detect-and-describe: Joint learning framework for detection and description of objects
Addel Zafar, Umar Khalid
Traditional object detection answers two questions; "what" (what the object is?) and "where" (where the object is?). "what" part of the object detection can be fine-grained further…
cs.CV2022★ 2 cited
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
Umar Khalid, Ashkan Esmaeili, Nazmul Karim +1
Recent studies have addressed the concern of detecting and rejecting the out-of-distribution (OOD) samples as a major challenge in the safe deployment of deep learning (DL) models.…