Key papers

• History of the Muddy Children Puzzle (2026)
  Hans van Ditmarsch
  4.33
• iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency (2024)
  Haruna Yunusa et al.
  2.98
• A Quantitative Definition Of Intelligence (2026)
  Kang-Sin Choi
  1.83
• A comprehensive Persian offline handwritten database for investigating the effects of heritability and family relationships on handwriting (2025)
  Abbas Zohrevand et al.
  1.44
• Challenges in Plane Symmetry: From Theory to Perception (2025)
  F. \c{C}engel et al.
  1.11
• Knee or ROC (2024)
  Veronica Wendt et al.
  0.39
• High Voltage Insulator Surface Evaluation Using Image Processing (2017)
  Damira Pernebayeva et al.
  —
• NumtaDB - Assembled Bengali Handwritten Digits (2018)
  Samiul Alam et al.
  —
• Assessment of electrical and infrastructure recovery in Puerto Rico following hurricane Maria using a multisource time series of satellite imagery (2018)
  Jacob Shermeyer
  —
• Sustainable Recreational Fishing Using a Novel Electrical Muscle Stimulation (EMS) Lure and Ensemble Network Algorithm to Maximize Catch and Release Survivability (2020)
  Petteri Haverinen et al.
  —
• The DongNiao International Birds 10000 Dataset (2020)
  Jian Mei and Hao Dong
  —
• HORAE: an annotated dataset of books of hours (2020)
  M\'elodie Boillet et al.
  —
• Going deeper with Image Transformers (2021)
  Hugo Touvron et al.
  —
• Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo (2021)
  Shintaro Nishi et al.
  —
• LoFTR: Detector-Free Local Feature Matching with Transformers (2021)
  Jiaming Sun et al.
  —
• Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression (2021)
  Zigang Geng et al.
  —
• Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping (2021)
  Jiahao Lin et al.
  —
• Deep Features for training Support Vector Machine (2021)
  Loris Nanni et al.
  —
• TokenPose: Learning Keypoint Tokens for Human Pose Estimation (2021)
  Yanjie Li et al.
  —
• Pose Recognition with Cascade Transformers (2021)
  Ke Li et al.
  —
• Age Range Estimation using MTCNN and VGG-Face Model (2021)
  Dipesh Gyawali et al.
  —
• Learning to Cluster Faces via Transformer (2021)
  Jinxing Ye et al.
  —
• Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification (2021)
  Nianchang Huang et al.
  —
• Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification (2021)
  Guoqing Zhang et al.
  —
• ResT: An Efficient Transformer for Visual Recognition (2021)
  Qinglong Zhang and Yubin Yang
  —
• The Herbarium 2021 Half-Earth Challenge Dataset (2021)
  Riccardo de Lutio et al.
  —
• On the Bias Against Inductive Biases (2021)
  George Cazenavette et al.
  —
• FoveaTer: Foveated Transformer for Image Classification (2021)
  Aditya Jonnalagadda et al.
  —
• FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions (2021)
  Weian Mao and Zhi Tian and Xinlong Wang and Chunhua Shen
  —
• Gaze Estimation using Transformer (2021)
  Yihua Cheng and Feng Lu
  —
• Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation (2021)
  Jie Ou et al.
  —
• Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification (2021)
  Yifeng Ding et al.
  —
• Person Re-Identification with a Locally Aware Transformer (2021)
  Charu Sharma et al.
  —
• Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer (2021)
  Yulin Li et al.
  —
• Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling (2021)
  Benjamin Walter
  —
• Knowledge distillation: A good teacher is patient and consistent (2021)
  Lucas Beyer et al.
  —
• MlTr: Multi-label Classification with Transformer (2021)
  Xing Cheng et al.
  —
• Attention-based Partial Face Recognition (2021)
  Stefan H\"ormann and Zeyuan Zhang and Martin Knoche and Torben Teepe and Gerhard Rigoll
  —
• Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks (2021)
  Longqing Ye
  —
• Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification (2021)
  Mingkun Li et al.
  —
• A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification (2021)
  Md Adnan Arefeen et al.
  —
• Self-Supervised Learning with Kernel Dependence Maximization (2021)
  Yazhe Li and Roman Pogodin and Danica J. Sutherland and Arthur Gretton
  —
• using multiple losses for accurate facial age estimation (2021)
  Yi Zhou et al.
  —
• The Hitchhiker's Guide to Prior-Shift Adaptation (2021)
  Tomas Sipka et al.
  —
• Test-Time Personalization with a Transformer for Human Pose Estimation (2021)
  Yizhuo Li et al.
  —
• Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification (2021)
  Mengxi Jia et al.
  —
• Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation (2021)
  Jia Li et al.
  —
• Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation (2021)
  Bingchen Zhao et al.
  —
• Combiner: Full Attention Transformer with Sparse Computation Cost (2021)
  Hongyu Ren et al.
  —
• HAT: Hierarchical Aggregation Transformers for Person Re-identification (2021)
  Guowen Zhang and Pingping Zhang and Jinqing Qi and Huchuan Lu
  —
• InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation (2021)
  Dahu Shi et al.
  —
• Adaptive Dilated Convolution For Human Pose Estimation (2021)
  Zhengxiong Luo et al.
  —
• Multi-Label Image Classification with Contrastive Learning (2021)
  Son D.Dao et al.
  —
• Self-supervised Learning with Local Attention-Aware Feature (2021)
  Trung X. Pham et al.
  —
• Exploiting Features with Split-and-Share Module (2021)
  Jaemin Lee et al.
  —
• Self-supervised Contrastive Learning of Multi-view Facial Expressions (2021)
  Shuvendu Roy et al.
  —
• Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods (2021)
  Ufuk Efe et al.
  —
• Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification (2021)
  Yongming Rao et al.
  —
• Fusion of evidential CNN classifiers for image classification (2021)
  Zheng Tong and Philippe Xu and Thierry Denoeux
  —
• Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images (2021)
  Jia-Xin Zhuang et al.
  —