Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Detec\c{c}\~ao da Psor\'iase Utilizando Vis\~ao Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers	Natanael Lucena, Fábio S. da Silva, Ricardo Rios	2025	arxiv 2506.10119
Self-supervised Learning with Local Attention-Aware Feature	Trung X. Pham, Rusty John Lloyd Mina, Dias Issa	2021	arxiv 2108.00475
Lossy Compression for Lossless Prediction	Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich	2021	arxiv 2106.10800
From images in the wild to video-informed image classification	Marc Böhlen, Varun Chandola, Wawan Sujarwo	2021	arxiv 2109.12040
Regularized Binary Network Training	Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux	2018	arxiv 1812.11800
Curve-based Neural Style Transfer	Yu-hsuan Chen, Levent Burak Kara, Jonathan Cagan	2023	arxiv 2401.08579
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer	Teru Nagamori, Sayaka Shiota, Hitoshi Kiya	2024	arxiv 2401.05126
Efficient Calibration for RRAM-based In-Memory Computing using DoRA	Weirong Dong, Kai Zhou, Zhen Kong	2025	arxiv 2504.03763
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging	Chaojie Zhang, Shengjia Chen, Ozkan Cigdem	2024	arxiv 2405.02784
Wildfire Detection Via Transfer Learning: A Survey	Ziliang Hong, Emadeldeen Hamdan, Yifei Zhao	2023	arxiv 2306.12276
Improving the Resolution of CNN Feature Maps Efficiently with Multisampling	Shayan Sadigh, Pradeep Sen	2018	arxiv 1805.10766
InfoDisent: Explainability of Image Classification Models by Information Disentanglement	\Lukasz Struski, Dawid Rymarczyk, Jacek Tabor	2024	arxiv 2409.10329
Generative Interventions for Causal Learning	Chengzhi Mao, Augustine Cha, Amogh Gupta	2020	arxiv 2012.12265
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining	Qiang Chen, Jian Wang, Chuchu Han	2022	arxiv 2211.03594
Exploring Transformer Backbones for Image Diffusion Models	Princy Chahal	2022	arxiv 2212.14678
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI	Erico Tjoa, Hong Jing Khok, Tushar Chouhan	2021	arxiv 2201.00009
Deep Generative Neural Embeddings for High Dimensional Data Visualization	Halid Ziya Yerebakan, Gerardo Hermosillo Valadez	2023	arxiv 2302.10801
A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization	Enrico Civitelli, Alessio Sortino, Matteo Lapucci	2021	arxiv 2112.12299
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression	Nikolina Kubiak, Simon Hadfield	2021	arxiv 2109.10658
How good are detection proposals, really?	Jan Hosang, Rodrigo Benenson, Bernt Schiele	2014	arxiv 1406.6962

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