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Found 5 papers, 2 papers with code
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
Federated Learning (FL) is a collaborative learning paradigm enabling participants to collectively train a shared machine learning model while preserving the privacy of their sensitive data.
ACLNet: An Attention and Clustering-based Cloud Segmentation Network
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images.
Ranked #1 on
Semantic Segmentation
on SWINySEG
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects
WSCN has a model size of only 0. 51MB and performs only 0. 2M FLOPS.
Ranked #1 on
Semantic Segmentation
on MixedWM38
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
We demonstrate the effectiveness of the proposed approach on modeling uncertainty in object detection and segmentation tasks using out-of-distribution experiments.
Black-box Adversarial Attacks in Autonomous Vehicle Technology
Also, the issue of late convergence in a Simple black-box attack (SimBA) is addressed by minimizing the loss of the most confused class which is the incorrect class predicted by the model with the highest probability, instead of trying to maximize the loss of the correct class.
