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Research

Papers for “imagenet”

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

TitleAuthorsYearSource
QuarterMap: Efficient Post-Training Token Pruning for Visual State Space ModelsTien-Yu Chi, Hung-Yueh Chiang, Diana Marculescu2025arxiv 2507.09514
Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental LearningJunsu Kim, Yunhoe Ku, Seungryul Baek2025arxiv 2507.13739
Iwin Transformer: Hierarchical Vision Transformer using Interleaved WindowsSimin Huo, Ning Li2025arxiv 2507.18405
Knowledge Distillation with Refined LogitsWujie Sun, Defang Chen, Siwei Lyu2024arxiv 2408.07703
Out-of-Distribution Detection using Counterfactual DistanceMaria Stoica, Francesco Leofante, Alessio Lomuscio2025arxiv 2508.10148
Pretrained Reversible Generation as Unsupervised Visual Representation LearningRongkun Xue, Jinouwen Zhang, Yazhe Niu2024arxiv 2412.01787
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight SymmetryMohammed Adnan, Rohan Jain, Ekansh Sharma2025arxiv 2505.05143
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNsIvan Reyes-Amezcua, Francisco Lopez-Tiro, Clement Larose2025arxiv 2508.13461
Efficient Column-Wise N:M Pruning on RISC-V CPUChi-Wei Chu, Ding-Yong Hong, Jan-Jan Wu2025arxiv 2507.17301
Diffuse and Disperse: Image Generation with Representation RegularizationRunqian Wang, Kaiming He2025arxiv 2506.09027
SIDE: Sparse Information Disentanglement for Explainable Artificial IntelligenceViktar Dubovik, \Lukasz Struski, Jacek Tabor2025arxiv 2507.19321
Cross-Architecture Distillation Made Simple with Redundancy SuppressionWeijia Zhang, Yuehao Liu, Wu Ran2025arxiv 2507.21844
SIDE: Surrogate Conditional Data Extraction from Diffusion ModelsYunhao Chen, Shujie Wang, Difan Zou2024arxiv 2410.02467
Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating Bias in Publicly Available DatasetsGhalib Ahmed Tahir2024arxiv 2409.10533
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective OperationsShigang Li, Tal Ben-Nun, Salvatore Di Girolamo2019arxiv 1908.04207
Guiding a diffusion model using sliding windowsNikolas Adaloglou, Tim Kaiser, Damir Iagudin2024arxiv 2411.10257
Deeply Supervised Flow-Based Generative ModelsInkyu Shin, Chenglin Yang, Liang-Chieh Chen2025arxiv 2503.14494
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic SegmentationBo-Wen Yin, Jiao-Long Cao, Xuying Zhang2025arxiv 2509.15096
A Validation Strategy for Deep Learning Models: Evaluating and Enhancing RobustnessAbdul-Rauf Nuhu, Parham Kebria, Vahid Hemmati2025arxiv 2509.19197
Leveraging Geometric Visual Illusions as Perceptual Inductive Biases for Vision ModelsHaobo Yang, Minghao Guo, Dequan Yang2025arxiv 2509.15156