Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation	Philippe Hansen-Estruch, David Yan, Ching-Yao Chung	2025	arxiv 2501.09755
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?	Megan Richards, Polina Kirichenko, Diane Bouchacourt	2023	arxiv 2307.13136
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks	Lukas S. Huber, Robert Geirhos, Felix A. Wichmann	2022	arxiv 2205.10144
Autoregressive Distillation of Diffusion Transformers	Yeongmin Kim, Sotiris Anagnostidis, Yuming Du	2025	arxiv 2504.11295
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring	Mert Sehri, Igor Varejão, Zehui Hua	2025	arxiv 2504.11581
The JEPA Predictor: A Transferable Operator for Occluded Feature Completion	William Nguyen, Christopher Nguyen	2026	arxiv 2607.16274
Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis	Johannes Hirth, Tom Hanika	2022	arxiv 2209.13517
The DongNiao International Birds 10000 Dataset	Jian Mei, Hao Dong	2020	arxiv 2010.06454
Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset	Shantanusinh Parmar	2025	arxiv 2508.06537
MicroNet: Improving Image Recognition with Extremely Low FLOPs	Yunsheng Li, Yinpeng Chen, Xiyang Dai	2021	arxiv 2108.05894
Adversarial Robustness for Unsupervised Domain Adaptation	Muhammad Awais, Fengwei Zhou, Hang Xu	2021	arxiv 2109.00946
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition	Kai Wang, Xialei Liu, Andy Bagdanov	2021	arxiv 2111.04993
Efficient Conditional Pre-training for Transfer Learning	Shuvam Chakraborty, Burak Uzkent, Kumar Ayush	2020	arxiv 2011.10231
Budget-aware Few-shot Learning via Graph Convolutional Network	Shipeng Yan, Songyang Zhang, Xuming He	2022	arxiv 2201.02304
Adaptive Aggregation Networks for Class-Incremental Learning	Yaoyao Liu, Bernt Schiele, Qianru Sun	2020	arxiv 2010.05063
Three things everyone should know about Vision Transformers	Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby	2022	arxiv 2203.09795
Effective Shortcut Technique for GAN	Seung Park, Cheol-Hwan Yoo, Yong-Goo Shin	2022	arxiv 2201.11351
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling	Mitch Hill, Jonathan Mitchell, Chu Chen	2022	arxiv 2205.12243
Continual Contrastive Learning for Image Classification	Zhiwei Lin, Yongtao Wang, Hongxiang Lin	2021	arxiv 2107.01776
Balanced softmax cross-entropy for incremental learning with and without memory	Quentin Jodelet, Xin Liu, Tsuyoshi Murata	2021	arxiv 2103.12532

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