liqing-410 Goto Github PK
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liqing-410's Projects
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Adversarial attack to detectors
adversarial-classifier
It turns out that adversarial and clean data are not twins, not at all.
comdefend
The code for CVPR2019 (ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples)
dann
pytorch implementation of Domain-Adversarial Training of Neural Networks
deep-residual-shrinkage-networks
The deep residual shrinkage network is a variant of deep residual networks.
detecting-adversarial-samples
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
detectino_early-
Code for the Adversarial Image Detectors and a Saliency Map
detection_baseline
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
dledge
This project accelerates deep learning models on the edge with the support of running ensemble learning for performance improvement. The current version accelerates YOLO object detectors with Intel Neural Compute Stick 2 using parallel programming.
gradcam-yolo
Analysing how adversarial attacks aaffect YOLO Object Detection and visualising GradCAM
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
rpattack-
(ICME2021) RPATTACK: REFINED PATCH ATTACK ON GENERAL OBJECT DETECTORS
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
tog
TOG
yolov5_in_tf2_keras
YOLOv5 in TF2 > TFLite > ONNX > TensorRT
yolov8-copy
δ½δΈ1
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