Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

10 December 2018

Han-Jia Ye

Papers citing "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

50 / 295 papers shown

Title
Background Clustering Pre-training for Few-shot Segmentation Zhimiao Yu Tiancheng Lin Yi Xu VLM 11 0 0 06 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 21 4 0 05 Dec 2023
D $^2$ ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition Wenjie Pei Qizhong Tan Guangming Lu Jiandong Tian 41 3 0 03 Dec 2023
$Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP$\mathbf{M^2}$C)$ Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP $\mathbf{M^2}$ C) Fei-Yu Guo Li Zhu YiKang Wang Han Qi 17 2 0 02 Dec 2023
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 13 7 0 30 Nov 2023
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels Shu-Lin Xu Yifan Sun Faen Zhang Anqi Xu Xiu-Shen Wei Yi Yang 24 5 0 18 Nov 2023
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 34 4 0 03 Nov 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 26 7 0 16 Oct 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu Na Zhao Gim Hee Lee 3DPC 13 3 0 20 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 17 6 0 20 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning Otniel-Bogdan Mercea Thomas Hummel A. Sophia Koepke Zeynep Akata VLM 27 2 0 07 Sep 2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning Yi Zhang Ce Zhang Zihan Liao Yushun Tang Zhihai He BDL VLM 18 10 0 03 Sep 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 26 16 0 20 Aug 2023
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching Jiazheng Xing Mengmeng Wang Yudi Ruan Bofan Chen Yaowei Guo B. Mu Guangwen Dai Jingdong Wang Yong-Jin Liu 22 18 0 18 Aug 2023
Multimodal Adaptation of CLIP for Few-Shot Action Recognition Jiazheng Xing Mengmeng Wang Xiaojun Hou Guangwen Dai Jingdong Wang Yong-Jin Liu VLM 15 0 0 03 Aug 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 22 0 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 13 4 0 28 Jul 2023
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching Siyuan Yang Jun Liu Shijian Lu Er Meng Hwa Alex C. Kot 37 11 0 14 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 26 2 0 09 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 23 24 0 07 Jul 2023
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition Fei-Yu Guo Li Zhu Yiwang Wang Jing Sun ViT 19 6 0 05 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 34 0 0 04 Jul 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion Yingjun Du Zehao Xiao Shengcai Liao Cees G. M. Snoek DiffM 26 10 0 26 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 44 19 0 18 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 17 0 0 16 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Y. Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Norm-guided latent space exploration for text-to-image generation Dvir Samuel Rami Ben-Ari N. Darshan Haggai Maron Gal Chechik DiffM 29 24 0 14 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 18 9 0 11 Jun 2023
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification Abihith Kothapalli Ashkan Shahbazi Xinran Liu Robert Sheng Soheil Kolouri 3DPC 11 2 0 08 Jun 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 23 0 0 02 Jun 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 22 2 0 27 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li H. Gouk Li Guo Timothy M. Hospedales 35 5 0 12 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu C. L. P. Chen Xinrong Gong Tong Zhang 27 9 0 12 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 135 39 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 16 10 0 26 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 32 10 0 24 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 16 12 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 32 40 0 23 Apr 2023
Clustered-patch Element Connection for Few-shot Learning Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 26 8 0 20 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 33 0 0 13 Apr 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 19 35 0 25 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings Daniel J. Trosten Rwiddhi Chakraborty Sigurd Løkse Kristoffer Wickstrøm Robert Jenssen Michael C. Kampffmeyer 14 13 0 16 Mar 2023
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Wu Taojing Wu Guannan Jiang ... Jun Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 22 10 0 15 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 38 19 0 11 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition Xiang Wang Shiwei Zhang Jun Cen Changxin Gao Yingya Zhang Deli Zhao Nong Sang VLM 11 53 0 06 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 13 31 0 02 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska Xiantong Zhen M. Worring VLM 11 18 0 28 Feb 2023