The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

11 March 2021

Papers citing "The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop"

9 / 9 papers shown

Title
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning Yue Duan Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi 43 4 0 19 Dec 2023
Prompting Scientific Names for Zero-Shot Species Recognition Shubham Parashar Zhiqiu Lin Yanan Li Shu Kong VLM 23 12 0 15 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 43 9 0 04 Oct 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 45 12 0 22 May 2023
USB: A Unified Semi-supervised Learning Benchmark for Classification Yidong Wang Hao Chen Yue Fan Wangbin Sun R. Tao ... T. Shinozaki Bernt Schiele Jindong Wang Xingxu Xie Yue Zhang 32 113 0 12 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning Yue Duan Lei Qi Lei Wang Luping Zhou Yinghuan Shi OOD 29 11 0 09 Aug 2022
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 35 8 0 12 Oct 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 49 64 0 10 Jun 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021