Robust classification

38 papers with code • 2 benchmarks • 3 datasets

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Greatest papers with code

Towards Deep Learning Models Resistant to Adversarial Attacks

tensorflow/cleverhans ICLR 2018

Its principled nature also enables us to identify methods for both training and attacking neural networks that are reliable and, in a certain sense, universal.

Adversarial Defense Robust classification +1

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

cgnorthcutt/cleanlab 4 May 2017

To highlight, RP with a CNN classifier can predict if an MNIST digit is a "one"or "not" with only 0. 25% error, and 0. 46 error across all digits, even when 50% of positive examples are mislabeled and 50% of observed positive labels are mislabeled negative examples.

General Classification noise estimation +1

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

MegviiDetection/video_analyst 14 Nov 2019

Following these guidelines, we design our Fully Convolutional Siamese tracker++ (SiamFC++) by introducing both classification and target state estimation branch(G1), classification score without ambiguity(G2), tracking without prior knowledge(G3), and estimation quality score(G4).

General Classification Robust classification +1

Implicit Generation and Modeling with Energy Based Models

openai/ebm_code_release NeurIPS 2019

Energy based models (EBMs) are appealing due to their generality and simplicity in likelihood modeling, but have been traditionally difficult to train.

General Classification Image Generation +2

Implicit Generation and Generalization in Energy-Based Models

openai/ebm_code_release 20 Mar 2019

Energy based models (EBMs) are appealing due to their generality and simplicity in likelihood modeling, but have been traditionally difficult to train.

General Classification Image Reconstruction +1

Certified Adversarial Robustness via Randomized Smoothing

locuslab/smoothing 8 Feb 2019

We show how to turn any classifier that classifies well under Gaussian noise into a new classifier that is certifiably robust to adversarial perturbations under the $\ell_2$ norm.

Adversarial Defense Robust classification

Detecting Multi-Oriented Text with Corner-based Region Proposals

xhzdeng/crpn 8 Apr 2018

Previous approaches for scene text detection usually rely on manually defined sliding windows.

Data Augmentation Robust classification +2

Imbalanced Image Classification with Complement Cross Entropy

frgfm/Holocron 4 Sep 2020

Recently, deep learning models have achieved great success in computer vision applications, relying on large-scale class-balanced datasets.

General Classification Image Classification +1

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

AlexOlsen/DeepWeeds 9 Oct 2018

This work contributes the first large, public, multiclass image dataset of weed species from the Australian rangelands; allowing for the development of robust classification methods to make robotic weed control viable.

General Classification Robust classification

Robust Classification with Convolutional Prototype Learning

YangHM/Convolutional-Prototype-Learning CVPR 2018

To improve the robustness, we propose a novel learning framework called convolutional prototype learning (CPL).

General Classification Image Classification +1