superCman's repositories

cnn-visual

implement OBJECT DETECTORS EMERGE IN DEEP SCENE CNNS

awesome-image-classification

A curated list of deep learning image classification papers and codes

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Awesome-person-re-identification

Awesome person re-identification

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

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dcgan-reid-pytorch

Using DCGAN to enhance Person-Reid's dataset

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dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

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FD-GAN

Pytorch implementation of feature distilling GAN for person reID. (NeurIPS18)

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gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

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hello-world

hello world

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NetDissect-Lite

Light version of Network Dissection for Quantifying Interpretability of Networks

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Person-Re-Identification

Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.

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person_generation_spt

PyTorch Implementation for Unsupervised Person Image Generation with Semantic Parsing Transformation

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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quick-netdissect

Lightweight reimplementation of netdissect for pytorch (under development)

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simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

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tensorpack

A Neural Net Training Interface on TensorFlow

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the-gan-zoo

A list of all named GANs!

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TrackR-CNN

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

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train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....

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