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whrws's Projects

acl-gan icon acl-gan

Unpaired Image-to-Image Translation using Adversarial Consistency Loss, ECCV 2020

adc-net icon adc-net

Robust Unpaired Image Dehazing via Adversarial Deformation Constraint

amef_dehazing icon amef_dehazing

AMEF - Artificial Multiple Exposure Fusion for Image Dehazing

attentionzsl icon attentionzsl

Codes for Paper "Attribute Attention for Semantic Disambiguation in Zero-Shot Learning"

awesome-denoise icon awesome-denoise

All latest image/burst/video Denoising papers with code & citation published in top conference and journal.

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bnm icon bnm

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

cmc icon cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

coco-gan icon coco-gan

COCO-GAN: Generation by Parts via Conditional Coordinating (ICCV 2019 oral)

cpd icon cpd

Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)

cr-da-det icon cr-da-det

The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)

cross-domain-detection icon cross-domain-detection

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

csrnet icon csrnet

(ECCV 2020) Conditional Sequential Modulation for Efficient Global Image Retouching

da-faster-rcnn-pytorch icon da-faster-rcnn-pytorch

An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

da_detection icon da_detection

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dehazezoo icon dehazezoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

derainzoo icon derainzoo

DerainZoo for collecting deraining methods, datasets, and codes.

dualresidualnetworks icon dualresidualnetworks

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

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