Jiangpengtao

Awesome-Weakly-Supervised-Semantic-Segmentation-Papers. Recent weakly supervised semantic segmentation paper

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

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

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

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

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".

layercam_loc. Python

Awesome-Video-Semantic-Segmentation.

Awesome-Semi-Supervised-Semantic-Segmentation-Papers.

Awesome-Video-Panoptic-Segmentation.

pengtaojiang.github.io. My personal website

Pseudo-Labels-Quality-of-WSSS.

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

1-stage-wseg. Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)