dennis-park-tri Goto Github PK

-neurips-2020-lidnet

3d-sdn

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

adelaidet

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

centernet

Object detection, 3D detection, and pose estimation using center point detection:

d4lcn

A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020

dd3d

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dgp

TRI-ML Dataset Governance Policy

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dla

Code for the CVPR Paper "Deep Layer Aggregation"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

iccv2021-pretraining

kinetics-downloader

Download DeepMind's Kinetics dataset.

meshtransformer

Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

panopticapi

COCO 2018 Panoptic Segmentation Task API (Beta version)

pixel-nerf

PixelNeRF Official Repository

pytorch-hitnet-hierarchical-iterative-tile-refinement-network-for-real-time-stereo-matching

HITNet implementation using PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

pytorchvideo

A deep learning library for video understanding research.

smoke

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

spinningup

An educational resource to help anyone learn deep reinforcement learning.

suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

videowalk

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.