Jiangpengtao (PengtaoJiang)

PengtaoJiang

Geek Repo

Company:Nankai University

Location:Tianjin

Home Page:http://pengtaojiang.github.io

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Jiangpengtao's repositories

Segment-Anything-CLIP

Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works

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LayerCAM-jittor

The official code for our TIP paper 'LayerCAM: Exploring Hierarchical Class Activation Maps for Localization'

OAA-PyTorch

The PyTorch Code for our ICCV 2019 paper "Integral Object Mining via Online Attention Accumulation"

L2G

The PyTorch Code for our CVPR 2022 paper "L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation"

OAA

Code for our ICCV 2019 paper "Integral Object Mining via Online Attention Accumulation"

TSP6K

The official PyTorch code for "Traffic Scene Parsing through the TSP6K Dataset".

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AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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AlphaRefine

Official implementation for the CVPR2021 paper Alpha-Refine

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Awesome-Vision-Attentions

Summary of related papers on visual attention

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Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

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cocostuff

The official homepage of the COCO-Stuff dataset.

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EPS

Official PyTorch implementation of "Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation", CVPR2021

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Few-Shot-Semantic-Segmentation-Papers

Few Shot Semantic Segmentation Papers

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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pengtaojiang.github.io

My personal website

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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RMNet

Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).

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Semantic-Segmentation

List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation

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torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

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Weakly-Supervised-Object-Localization

Weakly Supervised Object Localization Papers

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