Research

Papers for “imagenet”

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

Title	Authors	Year	Source
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques	Chunxiao Li, Xiaoxiao Wang, Boming Miao	2024	arxiv 2412.09063
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective	Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas	2024	arxiv 2407.07841
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning	Zhiqi Kang, Liyuan Wang, Xingxing Zhang	2025	arxiv 2503.00677
Context-guided Responsible Data Augmentation with Diffusion Models	Khawar Islam, Naveed Akhtar	2025	arxiv 2503.10687
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach	Guneet Mutreja, Ksenia Bittner	2025	arxiv 2503.22251
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense	MaungMaung AprilPyone, Hitoshi Kiya	2020	arxiv 2010.00801
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples	Chao Tao, Ji Qi, Weipeng Lu	2020	arxiv 2010.00882
Structured Convolutions for Efficient Neural Network Design	Yash Bhalgat, Yizhe Zhang, Jamie Lin	2020	arxiv 2008.02454
Multiresolution Knowledge Distillation for Anomaly Detection	Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh	2020	arxiv 2011.11108
ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems	Patrick Hansen, Alexey Vilkin, Yury Khrustalev	2019	arxiv 1911.07954
Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis	Arghya Pal, Rapha Phan, KokSheik Wong	2021	arxiv 2103.14212
RC2020 Report: Learning De-biased Representations with Biased Representations	Rwiddhi Chakraborty, Shubhayu Das	2021	arxiv 2105.06724
LRTuner: A Learning Rate Tuner for Deep Neural Networks	Nikhil Iyer, V Thejas, Nipun Kwatra	2021	arxiv 2105.14526
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition	Qibin Hou, Zihang Jiang, Li Yuan	2021	arxiv 2106.12368
Deep Model Compression Via Two-Stage Deep Reinforcement Learning	Huixin Zhan, Wei-Ming Lin, Yongcan Cao	2019	arxiv 1912.02254
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction	Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang	2021	arxiv 2110.08232
Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition	Mengjiao Hu, Xudong Jiang, Kang Sim	2022	arxiv 2211.11557
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning	Peyman Bateni, Jarred Barber, Raghav Goyal	2022	arxiv 2201.05151
Reducing ANN-SNN Conversion Error through Residual Membrane Potential	Zecheng Hao, Tong Bu, Jianhao Ding	2023	arxiv 2302.02091
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves	Sora Takashima, Ryo Hayamizu, Nakamasa Inoue	2023	arxiv 2303.01112

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