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Model Compression

1,718 papers

Papers per year

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Papers

Multi-Scale Aligned Distillation for Low-Resolution Detection CVPR 2021
Towards Compact CNNs via Collaborative Compression CVPR 2021
Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021
General Instance Distillation for Object Detection CVPR 2021
Compatibility-Aware Heterogeneous Visual Search CVPR 2021
Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
Network Pruning via Performance Maximization CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
Content-Aware GAN Compression CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021
Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021
Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021
Distribution-Aware Adaptive Multi-Bit Quantization CVPR 2021
Wasserstein Contrastive Representation Distillation CVPR 2021
Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021
Dynamic Region-Aware Convolution CVPR 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
Model-Contrastive Federated Learning CVPR 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021
Binary Graph Neural Networks CVPR 2021
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection CVPR 2021
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021