Free Lunch for Few-shot Learning: Distribution Calibration

16 January 2021

Papers citing "Free Lunch for Few-shot Learning: Distribution Calibration"

22 / 72 papers shown

Title
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration Kunyu Peng Alina Roitberg Kailun Yang Jiaming Zhang Rainer Stiefelhagen ViT 31 32 0 02 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 22 2 0 28 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 23 4 0 05 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 38 37 0 24 Jan 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime Prarthana Bhattacharyya Chenge Li Xiaonan Zhao István Fehérvári Jason Sun ViT 34 2 0 22 Jan 2022
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 46 93 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 38 30 0 01 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 32 1 0 29 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 33 9 0 09 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 32 20 0 09 Nov 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 17 21 0 11 Oct 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 89 29 0 06 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 32 13 0 06 Oct 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype Hojun Lee Myunggi Lee Nojun Kwak ObjD 33 30 0 16 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 113 66 0 10 Sep 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 60 18 0 11 Aug 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 19 1 0 12 Jul 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 35 27 0 11 Jun 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 12 32 0 27 May 2021
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 42 28 0 03 Dec 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 192 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017