sutd-visual-computing-group/awesome-generative-modeling-under-data-constraints

A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot

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sutd-visual-computing-group/FairQueue

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sutd-visual-computing-group/dag-gans

Data Augmentation optimized for GAN

Language: Python - Size: 84 KB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 10

sutd-visual-computing-group/Re-thinking_MI

[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks

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sutd-visual-computing-group/CLEAM

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sutd-visual-computing-group/sutd-visual-computing-group.github.io

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sutd-visual-computing-group/LS-KD-compatibility

[ICML 2022] This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). We suggest to use an LS-trained teacher with a low-temperature transfer to render high performance students.

Language: Python - Size: 4.03 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

sutd-visual-computing-group/Fourier-Discrepancies-CNN-Detection

[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.

Language: Python - Size: 2.99 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 5

sutd-visual-computing-group/google-streetview-gis-stack

This tool helps to generate Google Street View coverage maps by leveraging on Geographic Information System and Google Static Street View API

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sutd-visual-computing-group/transferable-forensic-features

[ECCV 2022: Oral] In this work, we discover that color is a crtical transferable forensic feature (T-FF) in universal detectors for detecting CNN-generated images.

Language: Python - Size: 2.84 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

sutd-visual-computing-group/KML-Classification

[NeurIPS 2021] PyTorch implementation of Kernel ModuLation (KML) algorithm for multimodal meta-learning

Language: Python - Size: 202 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

sutd-visual-computing-group/tokyo_24-7_image_retrieval_annotations

Annotated subset of Tokyo 24/7 Google Street View Dataset for Visual Geo-localization research. It consists of 16,000 dataset images and 49 distinct query locations taken at day/ evening/ night for a total of 147 query images.

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sutd-visual-computing-group/label-smoothing-multi-label-classification

Label Smoothing Experiment for Multi-label classification using Pascal VOC 2012 dataset

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sutd-visual-computing-group/multimodal-fisher-vector Fork of sibosutd/multimodal-fisher-vector

[ICASSP 2016] Dataset for egocentric activity recognition : "Egocentric Activity Recognition with Multimodal Fisher Vector"

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sutd-visual-computing-group/research-reproducibility-guide-book

This Guide book is written with the intention of helping researchers and engineers working in machine learning domains to publish reproducible research.

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