Official DeiT repository

This repository collects the list of accepted paper from (currently only deep learning) top conferences. All lists are crawled by python scripts for later maintenance and analysis.

Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint

Multi-modal Object Re-identification

Implementation for our WACV 2021 paper "Multi-Loss Weighting with Coefficient of Variations"

Improving Calibration for Long-Tailed Recognition (CVPR2021)

official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.

CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197

[CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions

This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).

Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)

Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

Official implementation of the work titled "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay"

Code for histogram binning and temperature scaling (global and class-wise) calibration methods for deep neural networks in pytorch.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Downloader from ImageNet Image URLs

ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.