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Found 9 papers, 5 papers with code
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
This is achieved by distilling feature maps generated from image-based foundation models into those rendered from our 3D model.
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
In most machine learning tasks unambiguous ground truth labels can easily be acquired.
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Additionally, we show how InvGAN can be used to implement reparameterization white-box attacks on projection-based defense mechanisms.
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations
We introduce a new method for interpreting computer vision models: visually perceptible, decision-boundary crossing transformations.
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Defense-GAN is trained to model the distribution of unperturbed images.
Ranked #1 on
Adversarial Defense against FGSM Attack
on MNIST
Adversarial Defense
Adversarial Defense against FGSM Attack
+1
Face-MagNet: Magnifying Feature Maps to Detect Small Faces
In this paper, we introduce the Face Magnifier Network (Face-MageNet), a face detector based on the Faster-RCNN framework which enables the flow of discriminative information of small scale faces to the classifier without any skip or residual connections.
Task-Aware Compressed Sensing with Generative Adversarial Networks
We propose to train the GANs in a task-aware fashion, specifically for reconstruction tasks.
SSH: Single Stage Headless Face Detector
Surprisingly, with a headless VGG-16, SSH beats the ResNet-101-based state-of-the-art on the WIDER dataset.
Convolutional Neural Networks for Attribute-based Active Authentication on Mobile Devices
We present a Deep Convolutional Neural Network (DCNN) architecture for the task of continuous authentication on mobile devices.
