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ntire2022_esr

Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution

nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

nupic.vision

Tools for using Numenta/nupic on visual problems like image recognition.

nuwa-pytorch

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

nwt-pytorch

Implementation of NWT, audio-to-video generation, in Pytorch

oaa-pytorch

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

oacc-net

[CVPR 2022] Occlusion-Aware Cost Constructor for Light Field Depth Estimation

oadtr

Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".

oasis

Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022

obbdetection

OBBDetection is an oriented object detection library, which is based on MMdetection.

object-cut

✂️ Cut the main object of an image automagically

object-deformnet

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

object_detection_tracking

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

objectdetection-onestagedet

单阶段通用目标检测器

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection

objectdetectpapercollection

objectflow

Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016

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

objsdf

:t-rex:[ECCV‘22] Pytorch implementation of 'Object-Compositional Neural Implicit Surfaces'

obow

obstructionremoval

[CVPR 2020] Learning to See Through Obstructions

ocnet.pytorch

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

ocr-pytorch

Object-Contextual Representations for Semantic Segmentation in PyTorch

odms

Object Depth via Motion and Segmentation Dataset

oef

Oriented Edge Forests for Boundary Detection

of_dis

Fast Optical Flow using Dense Inverse Search (DIS)

ofa

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

ofasys

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

oisr-pytorch

PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)