Sill-Net: Feature Augmentation with Separated Illumination
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Sill-Net: Feature Augmentation with Separated Illumination Representation

6 February 2021

Changshui Zhang

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Papers citing "Sill-Net: Feature Augmentation with Separated Illumination Representation"

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Title
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 226 4 0 25 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 312 1 0 05 Jun 2024
Prototypes-oriented Transductive Few-shot Learning with Conditional TransportIEEE International Conference on Computer Vision (ICCV), 2023 Long Tian Jing Feng Wenchao Chen Xiaoqiang Chai Liming Wang Xiyang Liu Bo Chen 186 20 0 06 Aug 2023
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 238 0 0 03 Sep 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 132 23 0 06 Apr 2022
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2022 Zhifeng Qian Mingyu You Hongjun Zhou Bin He DRL OffRL 125 7 0 28 Feb 2022
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 137 39 0 18 Oct 2021