Dataset Bias in Few-shot Image Recognition

18 August 2020

Papers citing "Dataset Bias in Few-shot Image Recognition"

7 / 7 papers shown

Title
Revealing Bias Formation in Deep Neural Networks Through the Geometric Mechanisms of Human Visual Decoupling Yanbiao Ma Bowei Liu Boyuan Gao Wei-Ming Dai Jiayi Chen Shuo Li AI4CE 63 0 0 17 Feb 2025
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 37 56 0 27 Dec 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 175 24 0 20 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 175 46 0 19 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 92 544 0 16 Mar 2020
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 186 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017