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Papers for “image classification”

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

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TitleAuthorsYearSource
An interpretation of the final fully connected layerSiddhartha2022arxiv 2205.11908
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?Christoph Koller, Göran Kauermann, Xiao Xiang Zhu2022arxiv 2205.15265
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural NetworksBin Liu2021arxiv 2108.11845
Depth Estimation with Simplified TransformerJohn Yang, Le An, Anurag Dixit2022arxiv 2204.13791
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness ConstraintHao Liu, Minshuo Chen, Siawpeng Er2022arxiv 2206.04569
An Effective Fusion Method to Enhance the Robustness of CNNYating Ma, Zhichao Lian2022arxiv 2205.15582
ROSE: A RObust and SEcure DNN WatermarkingKassem Kallas, Teddy Furon2022arxiv 2206.11024
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationGiung Nam, Hyungi Lee, Byeongho Heo2022arxiv 2206.15047
Attention Mechanisms in Computer Vision: A SurveyMeng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu2021arxiv 2111.07624
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized RegimeDaniel Goldfarb, Paul Hand2022arxiv 2207.06475
Residual and Attentional Architectures for Vector-SymbolsWilkie Olin-Ammentorp Maxim Bazhenov2022arxiv 2207.08953
The Randomness of Input Data Spaces is an A Priori Predictor for GeneralizationMartin Briesch, Dominik Sobania, Franz Rothlauf2021arxiv 2106.04181
Contrastive Learning for OOD in Object detectionRishab Balasubramanian, Rupashree Dey, Kunal Rathore2022arxiv 2208.06083
Probing Contextual Diversity for Dense Out-of-Distribution DetectionSilvio Galesso, Maria Alejandra Bravo, Mehdi Naouar2022arxiv 2208.14195
Privacy Enhancement for Cloud-Based Few-Shot LearningArchit Parnami, Muhammad Usama, Liyue Fan2022arxiv 2205.07864
Feature-level augmentation to improve robustness of deep neural networks to affine transformationsAdrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu2022arxiv 2202.05152
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksWenhui Wang, Hangbo Bao, Li Dong2022arxiv 2208.10442
A Unified Framework with Meta-dropout for Few-shot LearningShaobo Lin, Xingyu Zeng, Rui Zhao2022arxiv 2210.06409
XNAS: Neural Architecture Search with Expert AdviceNiv Nayman, Asaf Noy, Tal Ridnik2019arxiv 1906.08031
Tight Certified Robustness via Min-Max Representations of ReLU Neural NetworksBrendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi2023arxiv 2310.04916