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Papers for “image classification”

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

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TitleAuthorsYearSource
On Calibrating Semantic Segmentation Models: Analyses and An AlgorithmDongdong Wang, Boqing Gong, Liqiang Wang2022arxiv 2212.12053
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmYichen Xie, Han Lu, Junchi Yan2023arxiv 2303.14382
GMConv: Modulating Effective Receptive Fields for Convolutional KernelsQi Chen, Chao Li, Jia Ning2023arxiv 2302.04544
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsTangjun Wang, Zehao Dou, Chenglong Bao2021arxiv 2105.03155
Improving Tail-Class Representation with Centroid Contrastive LearningAnthony Meng Huat Tiong, Junnan Li, Guosheng Lin2021arxiv 2110.10048
A Multi-modal Approach to Single-modal Visual Place ClassificationTomoya Iwasaki, Kanji Tanaka, Kenta Tsukahara2023arxiv 2305.06179
Feasibility of Transfer Learning: A Mathematical FrameworkHaoyang Cao, Haotian Gu, Xin Guo2023arxiv 2305.12985
Dual Path Transformer with Partition AttentionZhengkai Jiang, Liang Liu, Jiangning Zhang2023arxiv 2305.14768
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground RemovalXavier F. Cadet, Ranya Aloufi, Alain Miranville2023arxiv 2306.01398
Growing Efficient Deep Networks by Structured Continuous SparsificationXin Yuan, Pedro Savarese, Michael Maire2020arxiv 2007.15353
InterpNET: Neural Introspection for Interpretable Deep LearningShane Barratt2017arxiv 1710.09511
Weakly Supervised Semantic Segmentation using Web-Crawled VideosSeunghoon Hong, Donghun Yeo, Suha Kwak2017arxiv 1701.00352
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural NetworksSuo Qiu, Xiangmin Xu, Bolun Cai2017arxiv 1706.08098
Wide Compression: Tensor Ring NetsWenqi Wang, Yifan Sun, Brian Eriksson2018arxiv 1802.09052
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective ExecutionLanlan Liu, Jia Deng2017arxiv 1701.00299
Fast Parametric Learning with Activation MemorizationJack W Rae, Chris Dyer, Peter Dayan2018arxiv 1803.10049
CRAM: Clued Recurrent Attention ModelMinki Chung, Sungzoon Cho2018arxiv 1804.10844
Who Let The Dogs Out? Modeling Dog Behavior From Visual DataKiana Ehsani, Hessam Bagherinezhad, Joseph Redmon2018arxiv 1803.10827
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between UnitsXi Chen, Zhihong Deng, Gehui Shen2018arxiv 1806.00628
Learning Longer-term Dependencies in RNNs with Auxiliary LossesTrieu H. Trinh, Andrew M. Dai, Minh-Thang Luong2018arxiv 1803.00144