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22 search results found
Hashing Baseline For Image Retrieval
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563
:octocat:Various hashing methods for image retrieval and serves as the baselines
Mimicry
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556
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Class Balanced Loss
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349
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Pytorch Cifar Models
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245
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
Deepcaps
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106
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
Bagoftricks Lt
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103
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
Jocor
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102
CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
Dpp
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94
Detail-Preserving Pooling in Deep Networks (CVPR 2018)
Bsconv
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66
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Ir Net
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63
This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
Gpq
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59
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Pencil
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53
PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
Unas
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47
Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral
Talr
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43
Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
Lp Deepssl
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38
Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
Amp Regularizer
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25
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Dihn
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20
source code for paper "Deep Incremental Hashing Network for Efficient Image Retrieval" on CVPR-2019
Pytorch_feedback Network
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15
This is a pytorch implementation of Feedback-Network (CVPR 2017, Zamir et al.)
Iternorm
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14
This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Efficient Whitening
Fully Learnable Group Convolution.pytorch
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13
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
Iternorm Pytorch
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12
This is the pytorch re-implementation of the IterNorm
Mar Scf
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11
Normalizing Flows with Multi-Scale Autoregressive Priors (CVPR 2020)
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