Research

Papers for “imagenet”

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

Title	Authors	Year	Source
PixelDiT: Pixel Diffusion Transformers for Image Generation	Yongsheng Yu, Wei Xiong, Weili Nie	2025	arxiv 2511.20645
Mitigating Premature Discretization with Progressive Quantization for Robust Vector Tokenization	Wenhao Zhao, Qiran Zou, Zhouhan Lin	2026	arxiv 2603.22304
Early High-Frequency Injection for Geometry-Sensitive OOD Detection	Chuanjie Cheng, Ningkang Peng, Chenxi Liu	2026	arxiv 2605.20728
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators	Tien-Ju Yang, Vivienne Sze	2019	arxiv 1912.12167
Early Convolutions Help Transformers See Better	Tete Xiao, Mannat Singh, Eric Mintun	2021	arxiv 2106.14881
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows	Xiaoyi Dong, Jianmin Bao, Dongdong Chen	2021	arxiv 2107.00652
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification	Lin Wan, Qianyan Jing, Zongyuan Sun	2021	arxiv 2112.06147
MVImgNet: A Large-scale Dataset of Multi-view Images	Xianggang Yu, Mutian Xu, Yidan Zhang	2023	arxiv 2303.06042
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	Han Cai, Ligeng Zhu, Song Han	2018	arxiv 1812.00332
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search	Xiyang Dai, Dongdong Chen, Mengchen Liu	2020	arxiv 2003.12563
CoCa: Contrastive Captioners are Image-Text Foundation Models	Jiahui Yu, Zirui Wang, Vijay Vasudevan	2022	arxiv 2205.01917
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models	Xuhong Li, Haoyi Xiong, Yi Liu	2022	arxiv 2207.03335
MEMO: Test Time Robustness via Adaptation and Augmentation	Marvin Zhang, Sergey Levine, Chelsea Finn	2021	arxiv 2110.09506
MobileCLIP2: Improving Multi-Modal Reinforced Training	Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc	2025	arxiv 2508.20691
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models	Vivian Lin, Kuk Jin Jang, Souradeep Dutta	2023	arxiv 2302.10341
D{\epsilon}pS: Delayed {\epsilon}-Shrinking for Faster Once-For-All Training	Aditya Annavajjala, Alind Khare, Animesh Agrawal	2024	arxiv 2407.06167
LookupViT: Compressing visual information to a limited number of tokens	Rajat Koner, Gagan Jain, Prateek Jain	2024	arxiv 2407.12753
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification	Hao Luo, Pichao Wang, Yi Xu	2021	arxiv 2111.12084
Going Deeper With Directly-Trained Larger Spiking Neural Networks	Hanle Zheng, Yujie Wu, Lei Deng	2020	arxiv 2011.05280
Improving Zero-shot Generalization and Robustness of Multi-modal Models	Yunhao Ge, Jie Ren, Andrew Gallagher	2022	arxiv 2212.01758

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