CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

Cross-modal-retrieval Our approach is focus on Activity Image-to-Video Retrieval (AIVR) task. The compared methods are state-of-the-art single modalit

75 Oct 21, 2021

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes / 3DCrowdNet News 💪 3DCrowdNet achieves the state-of-the-art accuracy on 3D

113 Dec 21, 2022

Quick program made to generate alpha and delta tables for Hidden Markov Models

HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i

1 Dec 04, 2021

Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.

Pano3D A Holistic Benchmark and a Solid Baseline for 360o Depth Estimation Pano3D is a new benchmark for depth estimation from spherical panoramas. We

50 Dec 29, 2022

Official implementation of Self-supervised Image-to-text and Text-to-image Synthesis

Self-supervised Image-to-text and Text-to-image Synthesis This is the official implementation of Self-supervised Image-to-text and Text-to-image Synth

6 Jul 31, 2022

A clean and robust Pytorch implementation of PPO on continuous action space.

PPO-Continuous-Pytorch I found the current implementation of PPO on continuous action space is whether somewhat complicated or not stable. And this is

56 Dec 16, 2022

LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.

LRBoost is a sckit-learn compatible package for linear residual boosting. LRBoost combines a linear estimator and a non-linear estimator to leverage t

5 Nov 23, 2022

This repository contains the code for designing risk bounded motion plans for car-like robot using Carla Simulator.

Nonlinear Risk Bounded Robot Motion Planning This code simulates the bicycle dynamics of car by steering it on the road by avoiding another static car

8 Sep 03, 2022

Implementation of paper "DeepTag: A General Framework for Fiducial Marker Design and Detection"

Implementation of paper DeepTag: A General Framework for Fiducial Marker Design and Detection. Project page: https://herohuyongtao.github.io/research/

46 Dec 12, 2022

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

PyLabel pip install pylabel PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. I

176 Jan 01, 2023

CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

Related tags

Overview

Dataset:CIFAR-10

Module Structure

Pytorch

Conv Explain

Owner

Frederick Wang

Unofficial PyTorch code for BasicVSR

Activity image-based video retrieval

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Quick program made to generate alpha and delta tables for Hidden Markov Models

Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.

Official implementation of Self-supervised Image-to-text and Text-to-image Synthesis

A clean and robust Pytorch implementation of PPO on continuous action space.

LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.

This repository contains the code for designing risk bounded motion plans for car-like robot using Carla Simulator.

Implementation of paper "DeepTag: A General Framework for Fiducial Marker Design and Detection"

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

Code for Discriminative Sounding Objects Localization (NeurIPS 2020)

TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform

SenseNet is a sensorimotor and touch simulator for deep reinforcement learning research

Implement face detection, and age and gender classification, and emotion classification.

(EI 2022) Controllable Confidence-Based Image Denoising

SOTR: Segmenting Objects with Transformers [ICCV 2021]

PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

A new video text spotting framework with Transformer