Code for our paper "Interactive Analysis of CNN Robustness"

Overview

Perturber

Code for our paper "Interactive Analysis of CNN Robustness"

Datasets

Feature visualizations: Google Drive

Fine-tuning checkpoints as saved models: Google Drive

Rotated cameraviews: Google Drive

Owner
Stefan Sietzen
Stefan Sietzen
Implementation of our paper 'RESA: Recurrent Feature-Shift Aggregator for Lane Detection' in AAAI2021.

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Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

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🔮 Execution time predictions for deep neural network training iterations across different GPUs.

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NeRF-pytorch NeRF (Neural Radiance Fields) is a method that achieves state-of-the-art results for synthesizing novel views of complex scenes. Here are

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PyTorch implementation for our AAAI 2022 Paper "Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning"

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A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions

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KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021

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PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

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This repository is maintained for the scientific paper tittled " Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis "

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[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

CLNER The code is for our ACL-IJCNLP 2021 paper: Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning CLNER is a

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ICLR 2021, Fair Mixup: Fairness via Interpolation

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Embodied Intelligence via Learning and Evolution

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The sixth place winning solution (6/220) in 2021 Gaofen Challenge.

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Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"

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