Research

Papers for “image classification”

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

Title	Authors	Year	Source
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks	Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka	2020	arxiv 2001.05152
Attentive Feature Reuse for Multi Task Meta learning	Kiran Lekkala, Laurent Itti	2020	arxiv 2006.07438
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases	Senthil Purushwalkam, Abhinav Gupta	2020	arxiv 2007.13916
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning	Jiuwen Zhu, Yuexiang Li, Yifan Hu	2020	arxiv 2006.05798
Self-Challenging Improves Cross-Domain Generalization	Zeyi Huang, Haohan Wang, Eric P. Xing	2020	arxiv 2007.02454
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines	Gustavo H. de Rosa, Mateus Roder, João P. Papa	2021	arxiv 2101.01042
Soccer Event Detection Using Deep Learning	Ali Karimi, Ramin Toosi, Mohammad Ali Akhaee	2021	arxiv 2102.04331
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning	Paul N. Whatmough, Chuteng Zhou, Patrick Hansen	2019	arxiv 1902.11128
Single-Path NAS: Device-Aware Efficient ConvNet Design	Dimitrios Stamoulis, Ruizhou Ding, Di Wang	2019	arxiv 1905.04159
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction	Xueyuan She, Yun Long, Daehyun Kim	2019	arxiv 1909.05314
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty	Serim Ryou, Seong-Gyun Jeong, Pietro Perona	2019	arxiv 1909.11155
Inspect Transfer Learning Architecture with Dilated Convolution	Syeda Noor Jaha Azim, Md. Aminur Rab Ratul	2019	arxiv 1911.08769
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming	Chuan Wen, Jianing Qian, Jierui Lin	2022	arxiv 2206.10816
Revisiting lp-constrained Softmax Loss: A Comprehensive Study	Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis	2022	arxiv 2206.09616
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance	Garnik Vareldzhan, Kirill Yurkov, Konstantin Ushenin	2021	arxiv 2104.06193
Compositional Attribute Imbalance in Vision Datasets	Jiayi Chen, Yanbiao Ma, Andi Zhang	2025	arxiv 2506.14418
Graph Concept Bottleneck Models	Haotian Xu, Tsui-Wei Weng, Lam M. Nguyen	2025	arxiv 2508.14255
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion	Zichuan Yang, Yongzhi Wang	2025	arxiv 2505.17367
Leveraging Geometric Visual Illusions as Perceptual Inductive Biases for Vision Models	Haobo Yang, Minghao Guo, Dequan Yang	2025	arxiv 2509.15156
Intelligent Multi-View Test Time Augmentation	Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib	2024	arxiv 2406.08593

Search results