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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 / 298 papers shown

Title
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback Gaoge Han Shaoli Huang Biwei Huang Jinglei Tang VGen 58 2 0 19 Dec 2023
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 70 1 0 18 Dec 2023
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models Xu Yang Yingzhe Peng Haoxuan Ma Shuo Xu Chi Zhang Yucheng Han Hanwang Zhang 111 5 0 15 Dec 2023
Low-shot Object Learning with Mutual Exclusivity Bias Anh Thai Ahmad Humayun Stefan Stojanov Zixuan Huang Bikram Boote James M. Rehg 100 3 0 06 Dec 2023
Background Clustering Pre-training for Few-shot Segmentation Zhimiao Yu Tiancheng Lin Yi Xu VLM 55 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 131 4 0 05 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 96 2 0 02 Dec 2023
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 95 8 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 69 6 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 85 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 126 7 0 16 Oct 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu Na Zhao Gim Hee Lee 3DPC 51 3 0 20 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 97 7 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 84 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 106 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 Jikang Cheng OODD 70 17 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 73 20 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 67 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 83 1 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 64 8 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 87 12 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 89 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 85 26 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 78 8 0 05 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 94 0 0 04 Jul 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion Yingjun Du Zehao Xiao Tianran Ouyang Cees G. M. Snoek DiffM 87 12 0 26 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 82 20 0 18 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 63 0 0 16 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yongqian Li Jiabao Wang Zhiteng Wang 62 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 104 26 0 14 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 59 11 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 78 3 0 08 Jun 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 98 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 130 8 0 28 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 84 3 0 27 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales 103 5 0 12 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu Chong Chen Xinrong Gong Tong Zhang 77 12 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 80 13 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 239 44 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 77 12 0 26 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 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 78 13 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 111 41 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 63 8 0 20 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 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 90 36 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 133 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 76 14 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 40 10 0 15 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 105 21 0 11 Mar 2023