SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

Title	Authors	Year	Source
A baseline on continual learning methods for video action recognition	Giulia Castagnolo, Concetto Spampinato, Francesco Rundo	2023	arxiv 2304.10335
Vision Transformers with Mixed-Resolution Tokenization	Tomer Ronen, Omer Levy, Avram Golbert	2023	arxiv 2304.00287
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers	Manuel Lagunas, Brayan Impata, Victor Martinez	2023	arxiv 2305.10018
Self-Supervised GAN Compression	Chong Yu, Jeff Pool	2020	arxiv 2007.01491
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language	Alexei Baevski, Arun Babu, Wei-Ning Hsu	2022	arxiv 2212.07525
ClickBAIT-v2: Training an Object Detector in Real-Time	Ervin Teng, Rui Huang, Bob Iannucci	2018	arxiv 1803.10358
Dropout Sampling for Robust Object Detection in Open-Set Conditions	Dimity Miller, Lachlan Nicholson, Feras Dayoub	2017	arxiv 1710.06677
Learning Deep NBNN Representations for Robust Place Categorization	Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci	2017	arxiv 1702.07898
Accurate and Efficient Similarity Search for Large Scale Face Recognition	Ce Qi, Zhizhong Liu, Fei Su	2018	arxiv 1806.00365
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks	Bo Hu, Ye Tang, Eric I-Chao Chang	2017	arxiv 1711.11317