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深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)
List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation
📓 Notes and summaries of various ML, Computer Vision & NLP papers.
This repository contains lists of state-or-art weakly supervised semantic segmentation works
Repository consisting of important research papers on weak supervision - Image, Audio, Video
Awesome weakly-supervised image semantic segmentation；scribble supervision，bounding box supervision, point supervision, image-level supervision. 2016-2024
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
A really simple tool to visualize different segmentation results
Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
An official implementation of "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation" (CVPR 2021) in PyTorch.
Code for the ICCV 2011 paper"Semantic contours from inverse detectors"
Code for paper: Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
[ICIP 2021] Puzzle-CAM: Improved localization via matching partial and full features.
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
Latex-format paper templates, including Elsevier, arXiv and IEEE Access.
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
