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partslip2

part_nerf

Code for "Generating Part-Aware Editable 3D Shapes without 3D Supervision", CVPR 2023

pasco

[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"

passl

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

patch-fool

[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin

pathgpt

pb-ovd

A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

pbnet

[ICCV2023] Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization

pcdiff-implant

PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation" (MICCAI 2023)

pcednet-supp

Companion website for the paper PCEDNet: A Light-Weight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds

pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

pcl-1

Point Cloud Library (PCL)

pcl-fusion

Fusing multiple point clouds into a unified model

pcr

Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning

pcr-cg

[ECCV 2022]PCR-CG: Point Cloud Registration via Color and Geometry

pcseg

PCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark

pcsegmentaion

pcsr

Accelerating Image Super-Resolution Networks with Pixel-Level Classification (ECCV 2024)

pctrans

Official PyTorch implementation of PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation, ICCVW 2023.

perceptionclip

Code for our paper "More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes"

perception_test

pere

code of PERE

personalizedfl

Personalized federated learning codebase for research

petr

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

pfcnn

Code for the paper "PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames" (CVPR 2020).

pfllib

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

pflm

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to generate membership proofs by accumulating users IDs. The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning scheme called PFLM. PFLM releases the assumption of threshold while maintaining the security guarantees. Additionally, we design a result verification algorithm based on a variant of ElGamal encryption to verify the correctness of aggregated results from the cloud server. The verification algorithm is integrated into PFLM as a part. Security analysis in a random oracle model shows that PFLM guarantees privacy against active adversaries. The implementation of PFLM and experiments demonstrate the performance of PFLM in terms of computation and communication.

pfsegnets

PointFlow (CVPR-2021)

pg-ia-nilut

pg-rcnn

Implementation of "PG-RCNN: Semantic Surface Point Generation for 3D Object Detection" (ICCV 2023)