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Dong ZHANG's Projects

autoaugment icon autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

cam icon cam

Class Activation Mapping

causal-unsupervised-segmentation icon causal-unsupervised-segmentation

Official PyTorch Implementation code for realizing the technical part of Causal Unsupervised Semantic sEgmentation (CAUSE) to improve performance of unsupervised semantic segmentation. (Under Review)

cfpnet icon cfpnet

Centralized Feature Pyramid for Object Detection

cg-net icon cg-net

Implementation for paper: Learning Calibrated-Guidance for Object Detection in Aerial Images

cleaners icon cleaners

official code for "Semantic Scene Completion with Cleaner Self"

cleanlab icon cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels

conta icon conta

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

denseclip icon denseclip

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

efficientvit icon efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

fasterseg icon fasterseg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

fpt icon fpt

Implementation for paper: Feature Pyramid Transformer

gsnet icon gsnet

Official code of the paper "Enhanced Neck Feature Representation for Object Detection in Aerial Images"

hofam icon hofam

Cross-scene Background Subtraction Network via 3D Optical Flow

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hsnet icon hsnet

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021

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