94 citations · 104 across the 5 of their papers we have counts for
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cs.CV2023★ 2 cited
USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model
Yulin He, Wei Chen, Yusong Tan +1
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typica…
cs.CV2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang, Bryan A. Plummer
Learning with noisy labels (LNL) aims to train a high-performing model using a noisy dataset. We observe that noise for a given class often comes from a limited set of categories,…
cs.CV2022★ 6 cited
An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition
Fangxin Shang, Siqi Wang, Xiaorong Wang +1
We present an effective method for Intracranial Hemorrhage Detection (IHD) which exceeds the performance of the winner solution in RSNA-IHD competition (2019). Meanwhile, our model…