Research

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Exploring Vision Transformers for Fine-grained Classification	Marcos V. Conde, Kerem Turgutlu	2021	arxiv 2106.10587
p-Meta: Towards On-device Deep Model Adaptation	Zhongnan Qu, Zimu Zhou, Yongxin Tong	2022	arxiv 2206.12705
Consistent Polyhedral Surrogates for Top-$k$ Classification and Variants	Jessie Finocchiaro, Rafael Frongillo, Emma Goodwill	2022	arxiv 2207.08873
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning	Chonghan Chen, Haohan Wang, Leyang Hu	2022	arxiv 2207.08944
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition	Chuanguang Yang, Zhulin An, Helong Zhou	2022	arxiv 2208.05768
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers	Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim	2022	arxiv 2210.07562
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning	Yuxin Wen, Jonas Geiping, Liam Fowl	2022	arxiv 2210.09305
Schedule-Robust Online Continual Learning	Ruohan Wang, Marco Ciccone, Giulia Luise	2022	arxiv 2210.05561
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation	Tsz Kin Lam, Eva Hasler, Felix Hieber	2022	arxiv 2210.13281
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language	Alexei Baevski, Wei-Ning Hsu, Qiantong Xu	2022	arxiv 2202.03555
R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition	Shuo Chen, Tan Yu, Ping Li	2022	arxiv 2211.11085
Learning Representational Invariances for Data-Efficient Action Recognition	Yuliang Zou, Jinwoo Choi, Qitong Wang	2021	arxiv 2103.16565
On Learning the Structure of Clusters in Graphs	Peter Macgregor	2022	arxiv 2212.14345
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers	Hugo Lemarchant, Liangzi Li, Yiming Qian	2023	arxiv 2301.13356
LiT Tuned Models for Efficient Species Detection	Andre Nakkab, Benjamin Feuer, Chinmay Hegde	2023	arxiv 2302.10281
Multi-Similarity Contrastive Learning	Emily Mu, John Guttag, Maggie Makar	2023	arxiv 2307.02712
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization	Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen	2023	arxiv 2304.08309
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention	Andres C. Rodriguez, Stefano D'Aronco, Konrad Schindler	2020	arxiv 2003.09168
Sample-Specific Debiasing for Better Image-Text Models	Peiqi Wang, Yingcheng Liu, Ching-Yun Ko	2023	arxiv 2304.13181
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment	David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana	2023	arxiv 2307.12183

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