zhouleisjtu,github

adaptis

[ICCV19] AdaptIS: Adaptive Instance Selection Network

adaptive_affinity_fields

Adaptive Affinity Fields for Semantic Segmentation

adaptivemaskedproxies

Adaptive Masked Proxies for Few Shot Semantic Segmentation

adl

Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

autogan

[ICCV 2019] AutoGAN: Neural Architecture Search for Generative Adversarial Networks

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

c-mil

Code for C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

camel

The colorectal adenoma dataset with image-level labels for weakly supervised learning.

casenet

A Pytorch implementation of CASENet for the Cityscapes Dataset

ccnet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

ccnet-pure-pytorch

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

cleanlab

Finding label errors in datasets and learning with noisy labels.

compressai

A PyTorch library and evaluation platform for end-to-end compression research

convolutional-prototype-learning

An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep-co-training-for-semi-supervised-image-recognition

Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepco3

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

deeplab-large-fov

My Implementation of the deeplab_v1 (known as deeplab large fov)

deeppruner

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

depth-completion

Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

dimensionality-driven-learning

Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018

dmra

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

dvc

DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

elastic-boundary-projection

Implementation of EBP - CVPR 2019

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