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- A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot
FairQueue
PublicCLEAM
PublicRe-thinking_MI
Public[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural NetworksAdAM
Public templateFairTL
Public- [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.
LS-KD-compatibility
Public[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.KML-Classification
Publicmultimodal-fisher-vector
Public[ICASSP 2016] Dataset for egocentric activity recognition : "Egocentric Activity Recognition with Multimodal Fisher Vector"- [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.
dag-gans
Public- This tool helps to generate Google Street View coverage maps by leveraging on Geographic Information System and Google Static Street View API
- This Guide book is written with the intention of helping researchers and engineers working in machine learning domains to publish reproducible research.
- 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.