Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Progressively Diffused Networks for Semantic Image Segmentation	Ruimao Zhang, Wei Yang, Zhanglin Peng	2017	arxiv 1702.05839
Information-Guided Diffusion Sampling for Dataset Distillation	Linfeng Ye, Shayan Mohajer Hamidi, Guang Li	2025	arxiv 2507.04619
Efficient Training of Convolutional Neural Nets on Large Distributed Systems	Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena	2017	arxiv 1711.00705
LSDA: Large Scale Detection Through Adaptation	Judy Hoffman, Sergio Guadarrama, Eric Tzeng	2014	arxiv 1407.5035
Revisiting ResNets: Improved Training and Scaling Strategies	Irwan Bello, William Fedus, Xianzhi Du	2021	arxiv 2103.07579
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking	Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag	2020	arxiv 2005.10884
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data	Oscar Mañas, Alexandre Lacoste, Xavier Giro-i-Nieto	2021	arxiv 2103.16607
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy	Vignesh Srinivasan, Nils Strodthoff, Jackie Ma	2021	arxiv 2106.13497
Out-of-Distribution Detection with Relative Angles	Berker Demirel, Marco Fumero, Francesco Locatello	2024	arxiv 2410.04525
Simple yet Effective Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization	Seongjae Kang, Dong Bok Lee, Hyungjoon Jang	2025	arxiv 2505.07675
Diffusion As Self-Distillation: End-to-End Latent Diffusion In One Model	Xiyuan Wang, Muhan Zhang	2025	arxiv 2511.14716
Annotation-Free Class-Incremental Learning	Hari Chandana Kuchibhotla, K S Ananth, Vineeth N Balasubramanian	2025	arxiv 2511.19344
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation	Hongsuk Choi, Hyeongjin Nam, Taeryung Lee	2023	arxiv 2303.05370
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection	Jinglun Li, Xinyu Zhou, Pinxue Guo	2024	arxiv 2408.15580
VRM: Knowledge Distillation via Virtual Relation Matching	Weijia Zhang, Fei Xie, Weidong Cai	2025	arxiv 2502.20760
CycleBNN: Cyclic Precision Training in Binary Neural Networks	Federico Fontana, Romeo Lanzino, Anxhelo Diko	2024	arxiv 2410.00050
Frequency Composition for Compressed and Domain-Adaptive Neural Networks	Yoojin Kwon, Hongjun Suh, Wooseok Lee	2025	arxiv 2505.20890
Fractals as Pre-training Datasets for Anomaly Detection and Localization	C. I. Ugwu, S. Casarin, O. Lanz	2024	arxiv 2405.06980
RAViT: Resolution-Adaptive Vision Transformer	Martial Guidez, Stefan Duffner, Christophe Garcia	2026	arxiv 2602.24159
Vector-Quantized Soft Label Compression for Dataset Distillation	Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash	2026	arxiv 2603.03808

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