Research

Papers for “imagenet”

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

Title	Authors	Year	Source
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs	Yunling Zheng, Zeyi Xu, Fanghui Xue	2024	arxiv 2407.12217
Classification for everyone : Building geography agnostic models for fairer recognition	Akshat Jindal, Shreya Singh, Soham Gadgil	2023	arxiv 2312.02957
FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle	Meshia Cédric Oveneke, Rucha Vaishampayan, Deogratias Lukamba Nsadisa	2023	arxiv 2302.14831
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision	Arthur J. Redfern, Lijun Zhu, Molly K. Newquist	2020	arxiv 2010.00704
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping	Jiaxiong Qiu, Cai Chen, Shuaicheng Liu	2020	arxiv 2003.07469
Disentangled Feature Representation for Few-shot Image Classification	Hao Cheng, Yufei Wang, Haoliang Li	2021	arxiv 2109.12548
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training	Minguk Kang, Woohyeon Shim, Minsu Cho	2021	arxiv 2111.01118
Multi-label Iterated Learning for Image Classification with Label Ambiguity	Sai Rajeswar, Pau Rodriguez, Soumye Singhal	2021	arxiv 2111.12172
Overinterpretation reveals image classification model pathologies	Brandon Carter, Siddhartha Jain, Jonas Mueller	2020	arxiv 2003.08907
Self-Supervised Pretraining for RGB-D Salient Object Detection	Xiaoqi Zhao, Youwei Pang, Lihe Zhang	2021	arxiv 2101.12482
Adaptive Poincar\'e Point to Set Distance for Few-Shot Classification	Rongkai Ma, Pengfei Fang, Tom Drummond	2021	arxiv 2112.01719
Co-training Transformer with Videos and Images Improves Action Recognition	Bowen Zhang, Jiahui Yu, Christopher Fifty	2021	arxiv 2112.07175
Multi-Label Classification on Remote-Sensing Images	Aditya Kumar Singh, B. Uma Shankar	2022	arxiv 2201.01971
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations	Xiangning Chen, Cho-Jui Hsieh, Boqing Gong	2021	arxiv 2106.01548
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training	Zhaowen Li, Yousong Zhu, Fan Yang	2022	arxiv 2203.06965
Crafting Better Contrastive Views for Siamese Representation Learning	Xiangyu Peng, Kai Wang, Zheng Zhu	2022	arxiv 2202.03278
Boost Test-Time Performance with Closed-Loop Inference	Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang	2022	arxiv 2203.10853
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier	Chong Xiang, Saeed Mahloujifar, Prateek Mittal	2021	arxiv 2108.09135
A Simple Recipe for Competitive Low-compute Self supervised Vision Models	Quentin Duval, Ishan Misra, Nicolas Ballas	2023	arxiv 2301.09451
Training trajectories, mini-batch losses and the curious role of the learning rate	Mark Sandler, Andrey Zhmoginov, Max Vladymyrov	2023	arxiv 2301.02312

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