CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification

25 March 2022

Papers citing "CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification"

16 / 16 papers shown

Title
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 52 1 0 18 Sep 2024
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology Yuanzhe Peng Jieming Bian Jie Xu 41 4 0 24 Feb 2024
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 36 1 0 19 Jun 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 45 0 0 02 Jun 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 29 14 0 16 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 44 19 0 11 Mar 2023
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 27 8 0 14 Nov 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 40 42 0 26 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 56 345 0 13 May 2022
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 324 0 16 Jan 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 209 632 0 17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 194 640 0 19 Sep 2019
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
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 466 11,715 0 09 Mar 2017