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Pretrained Visual Representations in Reinforcement Learning
Visual reinforcement learning (RL) has made significant progress in recent years, but the choice of visual feature extractor remains a crucial design decision. -
Table Grape Vineyard Dataset
Dataset for table grape detection, segmentation and tracking -
Embrapa Wine Grape Instance Segmentation Dataset (WGISD)
Dataset for table grape detection, segmentation and tracking -
COLD database
This paper presents a dataset for vision-based mobile robot localization. -
Raspberry Pi Tabanlı Akıllı Robot Kol Kontrol Sistemi
3D modelleme programları ile tasarlanan robotik kol sistemi, Raspberry Pi ve USB kamera kullanılarak bilgisayar görme uygulaması gerçekleştirilmiştir. -
Differentiable Stereopsis
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering -
ENet: A Deep Neural Network Architecture for Real-time Semantic Segmentation
A dataset for real-time semantic segmentation. -
Lifelong-CIFAR10 and Lifelong-ImageNet
Lifelong-CIFAR10 and Lifelong-ImageNet are ever-expanding pools of test samples designed to enhance the robustness of current benchmarks by mitigating the issue of overfitting... -
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress -
Protest Images Dataset
The dataset contains protest images from South Korea and Hong Kong. -
Image as Data: Automated Visual Content Analysis for Political Science
Image data provide unique information about political events, actors, and their interactions which are difficult to measure from or not available in text data. -
Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
A dataset of 90 CT image series for training a 3D Convolutional Neural Network for vertebral fracture detection. -
Squared Curvature Regularization
The dataset used in the paper for testing the proposed squared curvature regularization approach. -
Pose for Everything
Pose for Everything: Towards Category-Agnostic Pose Estimation -
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. -
Discrete Radon Transform
The dataset used in this paper for computing 4th order 2D image moments using the Discrete Radon Transform. -
Movie Description dataset
A novel dataset of movies with aligned descriptions sourced from movie scripts and DVS (Descriptive Video Service) audio descriptions. -
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-t...
Generating photo-realistic images from a text description is a challenging problem in computer vision. Previ- ous works have shown promising performance to generate synthetic...