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1811.08883
Cited By
Rethinking ImageNet Pre-training
21 November 2018
Kaiming He
Ross B. Girshick
Piotr Dollár
VLM
SSeg
Re-assign community
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Papers citing
"Rethinking ImageNet Pre-training"
50 / 507 papers shown
Title
Slender Object Detection: Diagnoses and Improvements
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Bi-tuning of Pre-trained Representations
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Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
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Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
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Pre-training Graph Transformer with Multimodal Side Information for Recommendation
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Yikang Shen
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AutoBSS: An Efficient Algorithm for Block Stacking Style Search
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Deep Anomaly Detection by Residual Adaptation
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Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment
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Seesaw Loss for Long-Tailed Instance Segmentation
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Matching Guided Distillation
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The Kolmogorov-Arnold representation theorem revisited
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Jiatao Gu
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Pillar-based Object Detection for Autonomous Driving
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Alireza Fathi
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Adding Seemingly Uninformative Labels Helps in Low Data Regimes
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MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
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T-Basis: a Compact Representation for Neural Networks
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Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
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Rescaling Egocentric Vision
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To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks
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Spherical Motion Dynamics: Learning Dynamics of Neural Network with Normalization, Weight Decay, and SGD
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Zhanxing Zhu
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VirTex: Learning Visual Representations from Textual Annotations
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