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objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

orn

Oriented Response Networks, in CVPR 2017

pairwise-similarity-knowledge-transfer-wsol

Source code for Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization paper

parallel-image-segmentation

This project contains 3 different image segmentation algorithms parallelised using CUDA and MPI. The 3 chosen image segmentation algorithms are Edge Detection, Otsu Thresholding and K-Means Clustering

permutohedral

permutohedral_attention_module

permutohedral_lattice

Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)

perturbations-differential-pytorch

Differentiable Optimizers with Perturbations in Pytorch

pfenet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

pod_compare

Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prm

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

probabilistic_segmentation

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

probdet

Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

psa

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

pseudolabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

psol

code repository of “Rethinking the Route Towards Weakly Supervised Object Localization” in CVPR 2020

pssr

Deep Learning-Based Point-Scanning Super-Resolution (PSSR)

puzzlecam

Puzzle-CAM: Improved localization via matching partial and full features.

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pyimsegm

Image segmentation - general superpixel segmentation & center detection & region growing

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-cam

Class Activation Map (CAM) Visualizations in PyTorch.

pytorch-classification

Classification with PyTorch.

pytorch-classification-advprop

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

pytorch-custom-cuda-tutorial

Tutorial for building a custom CUDA function for Pytorch