Research

Papers for “imagenet”

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

Title	Authors	Year	Source
EfficientNetV2: Smaller Models and Faster Training	Mingxing Tan, Quoc V. Le	2021	arxiv 2104.00298
Image Classification with CondenseNeXt for ARM-Based Computing Platforms	Priyank Kalgaonkar, Mohamed El-Sharkawy	2021	arxiv 2106.14102
PrUE: Distilling Knowledge from Sparse Teacher Networks	Shaopu Wang, Xiaojun Chen, Mengzhen Kou	2022	arxiv 2207.00586
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning	Rongkai Ma, Pengfei Fang, Gil Avraham	2021	arxiv 2112.03494
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition	Changyao Tian, Wenhai Wang, Xizhou Zhu	2021	arxiv 2111.13579
Semi-supervised Vision Transformers at Scale	Zhaowei Cai, Avinash Ravichandran, Paolo Favaro	2022	arxiv 2208.05688
Structural Pruning via Latency-Saliency Knapsack	Maying Shen, Hongxu Yin, Pavlo Molchanov	2022	arxiv 2210.06659
Dataset Distillation using Neural Feature Regression	Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba	2022	arxiv 2206.00719
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning	Jiwei Wei, Yang Yang, Zeyu Ma	2022	arxiv 2212.13151
Steerable Equivariant Representation Learning	Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang	2023	arxiv 2302.11349
Towards Geospatial Foundation Models via Continual Pretraining	Matias Mendieta, Boran Han, Xingjian Shi	2023	arxiv 2302.04476
Dynamic Shuffle: An Efficient Channel Mixture Method	Kaijun Gong, Zhuowen Yin, Yushu Li	2023	arxiv 2310.02776
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels	Zebin You, Yong Zhong, Fan Bao	2023	arxiv 2302.10586
ParameterNet: Parameters Are All You Need	Kai Han, Yunhe Wang, Jianyuan Guo	2023	arxiv 2306.14525
Foveation-based Mechanisms Alleviate Adversarial Examples	Yan Luo, Xavier Boix, Gemma Roig	2015	arxiv 1511.06292
GSE: Group-wise Sparse and Explainable Adversarial Attacks	Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta	2023	arxiv 2311.17434
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks	Shuchang Zhou, Yuzhi Wang, He Wen	2017	arxiv 1706.07145
Transfer Learning with Binary Neural Networks	Sam Leroux, Steven Bohez, Tim Verbelen	2017	arxiv 1711.10761
Object Detection in Videos with Tubelet Proposal Networks	Kai Kang, Hongsheng Li, Tong Xiao	2017	arxiv 1702.06355
An Analysis of Scale Invariance in Object Detection - SNIP	Bharat Singh, Larry S. Davis	2017	arxiv 1711.08189

Search results