-
ImageNet-Dogs
The dataset used in the paper for image classification, object detection, and face verification tasks. -
TDT4173 - Method Paper
A survey of the foundations, selected improvements, and some current applications of Deep Convolutional Neural Networks (CNNs). -
MS COCO2017
The dataset used in the paper is MS COCO2017, a large-scale object detection dataset. -
COCO validation dataset
COCO validation dataset -
KITTI object detection dataset
The KITTI object detection dataset is used for evaluating the proposed method. -
PASCAL-5i and COCO-20i
PASCAL-5i and COCO-20i are datasets used for evaluation of few-shot segmentation. -
MetaDetect
The dataset used for object detection with deep neural networks, including Kitti, Pascal VOC, and COCO datasets. -
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and...
Instance segmentation by refining object detection with semantic and direction features. -
ILSVRC2012
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a subset of the validation dataset used for the ImageNet Large Scale Visual... -
VisDrone2019-Det
Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much attention in the research field of computer vision. However, not easy to accurately detect objects with... -
Mask R-CNN
The dataset used in this paper for training and testing the KAISA optimizer framework. -
LDD: A Grape Diseases Dataset
A new dataset for grape diseases object detection and instance segmentation. -
Learning the What and How of Annotation in Video Object Segmentation
Video object segmentation is crucial for several applications, from video editing to video data generation. Training a VOS model requires an abundance of manually labeled... -
COCO 2017 Detection Dataset
A large dataset for object detection, containing 118k training images and 5k validation images. -
Adaptive Clustering Transformer
End-to-end Object Detection with Adaptive Clustering Transformer