SOTA2 Research · papers

Papers for “imagenet”

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

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20 indexed

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