Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Towards Visual Distortion in Black-Box Attacks	Nannan Li, Zhenzhong Chen	2020	arxiv 2007.10593
Efficient Visual Pretraining with Contrastive Detection	Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac	2021	arxiv 2103.10957
An Attention Free Transformer	Shuangfei Zhai, Walter Talbott, Nitish Srivastava	2021	arxiv 2105.14103
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration	Gavin Kerrigan, Padhraic Smyth, Mark Steyvers	2021	arxiv 2109.14591
Maximum Likelihood Training of Score-Based Diffusion Models	Yang Song, Conor Durkan, Iain Murray	2021	arxiv 2101.09258
ParticleAugment: Sampling-Based Data Augmentation	Alexander Tsaregorodtsev, Vasileios Belagiannis	2021	arxiv 2106.08693
$S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks	Xinlin Li, Bang Liu, Yaoliang Yu	2021	arxiv 2107.03453
A Discriminative Channel Diversification Network for Image Classification	Krushi Patel, Guanghui Wang	2021	arxiv 2112.05861
Defending Against Image Corruptions Through Adversarial Augmentations	Dan A. Calian, Florian Stimberg, Olivia Wiles	2021	arxiv 2104.01086
UWC: Unit-wise Calibration Towards Rapid Network Compression	Chen Lin, Zheyang Li, Bo Peng	2022	arxiv 2201.06376
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples	Suqin Yuan, Lei Feng, Bo Han	2025	arxiv 2502.08227
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models	Junno Yun, Yaşar Utku Alçalar, Mehmet Akçakaya	2025	arxiv 2509.21565
Objects do not disappear: Video object detection by single-frame object location anticipation	Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert	2023	arxiv 2308.04770
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis	Jiayan Teng, Wendi Zheng, Ming Ding	2023	arxiv 2309.03350
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption	Jaiyoung Park, Donghwan Kim, Jongmin Kim	2023	arxiv 2310.16530
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection	Yiming Huang, Guole Liu, Yaoru Luo	2023	arxiv 2308.15280
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge	Youngjun Kwak, Seonghun Jeong, Yunseung Lee	2023	arxiv 2311.11470
Revisiting Batch Normalization for Improving Corruption Robustness	Philipp Benz, Chaoning Zhang, Adil Karjauv	2020	arxiv 2010.03630
Explainable Deep One-Class Classification	Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen	2020	arxiv 2007.01760
Contrastive Syn-to-Real Generalization	Wuyang Chen, Zhiding Yu, Shalini De Mello	2021	arxiv 2104.02290

Search results