Adaptive Cross-Modal Few-Shot Learning

19 February 2019

Papers citing "Adaptive Cross-Modal Few-Shot Learning"

45 / 45 papers shown

Title
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 62 0 0 14 Oct 2024
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations Minoh Jeong Min Namgung Zae Myung Kim Dongyeop Kang Yao-Yi Chiang Alfred Hero 25 0 0 02 Oct 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 37 1 0 21 May 2024
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 29 0 0 12 Dec 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 33 2 0 09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 13 2 0 30 May 2023
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy Na Li Zied Bouraoui Steven Schockaert 29 9 0 22 May 2023
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach Taehyean Choi Jong-Hwan Kim ObjD 30 6 0 20 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 20 100 0 16 Jan 2023
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Fang Peng Xiaoshan Yang Linhui Xiao Yaowei Wang Changsheng Xu VLM 35 43 0 28 Nov 2022
Multi-Modal Fusion by Meta-Initialization Matthew Jackson Shreshth A. Malik Michael T. Matthews Yousuf Mohamed-Ahmed 29 0 0 10 Oct 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 18 61 0 05 May 2022
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness Paul Pu Liang 22 4 0 14 Apr 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 31 22 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 27 157 0 07 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding Mohamed Afham Isuru Dissanayake Dinithi Dissanayake Amaya Dharmasiri Kanchana Thilakarathna Ranga Rodrigo 3DPC 16 251 0 01 Mar 2022
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 34 7 0 13 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
Few-Shot Object Detection via Association and DIscrimination Yuhang Cao Jiaqi Wang Ying Jin Tong Wu Kai-xiang Chen Ziwei Liu Dahua Lin ObjD 23 82 0 23 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
Audio-to-Image Cross-Modal Generation Maciej Żelaszczyk Jacek Mańdziuk DiffM 53 15 0 27 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 43 35 0 16 Sep 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 57 18 0 11 Aug 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 32 159 0 15 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 25 9 0 28 Jun 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer F. Khan VLM 13 24 0 26 Apr 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 25 68 0 08 Jan 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 33 19 0 24 Dec 2020
Deep Semantic Dictionary Learning for Multi-label Image Classification Feng Zhou Sheng Huang Yun Xing VLM 18 71 0 23 Dec 2020
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas L. Griffiths 24 4 0 27 Nov 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 24 4 0 14 Jul 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 19 192 0 28 May 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 12 39 0 01 Apr 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 11 12 0 06 Feb 2020
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan Ö. Arik Zizhao Zhang Tomas Pfister FedML 23 39 0 03 Dec 2019
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 25 10 0 28 Nov 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 10 12 0 31 May 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 173 666 0 07 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