PL's repositories

Adv-SS-Pretraining

[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

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Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking

This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

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Adversarial-Patch-Training

Code for the paper: Adversarial Training against Location-Optimized Adversarial Patches. ECCV CVCOPS 2020 (to appear)

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BA3US

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

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causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

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CLADE

Semantic Image Synthesis via Efficient Class-Adaptive Normalization

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CNAS

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

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DANCE

repository for Universal Domain Adaptation through Self-supervision

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DenseNAS

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

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EAGRNet

Edge-aware Graph Representation Learning and Reasoning for Face Parsing (ECCV 2020)

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FADA

(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

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FedNova

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

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GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

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Guided-I2I-Translation-Papers

Guided Image-to-Image Translation Papers

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IFVD

Intra-class Feature Variation Distillation for Semantic Segmentation (ECCV 2020)

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InfoGraph

Official code for ICLR spotlight paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

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label-distillation

Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”

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LtC-MSDA

Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

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multi-source-attention

Multi-Source Domain Attention

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NAS-DIP-pytorch

[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

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nas-segm-pytorch

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

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PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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VILLA

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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VL-BERT

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

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XingGAN

[ECCV 2020] XingGAN for Person Image Generation

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