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MOT17 and MOT20
Object permanence is the concept that objects in a physical world continue to exist despite the observers inability to sense them. This can result in temporally unstable... -
COCO dataset for object detection
The dataset used in the paper is COCO for object detection. -
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
The proposed DualConv is used to replace the standard convolution in VGG-16 and ResNet-50 to perform image classification experiments on CIFAR-10, CIFAR-100, and ImageNet datasets. -
ImageNet Object Detection Dataset
The ImageNet object detection dataset, which contains a sufficiently large number of images and object categories to reach a conclusion. -
KINS Dataset
A dataset for amodal instance segmentation, consisting of images with variable numbers of object instances. -
COCO object detection dataset
The dataset used in the paper is a 2D object detection dataset, where the authors investigate the issues of achieving sufficient rigor in the arguments for the safety of machine... -
Open Images Dataset
The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images... -
TraDeS: A Novel Online Joint Detection and Tracking Model
The TraDeS tracker is a novel online joint detection and tracking model that exploits tracking clues to assist detection and in return benefits tracking. -
Open Images Dataset V4
A dataset for image classification, object detection, and visual relationship detection. -
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
Open-vocabulary object detection (OvOD) has transformed detection into a language-guided task, empowering users to freely define their class vocabularies of interest during... -
MS-COCO 2017 detection dataset
The dataset used in the paper is the MS-COCO 2017 detection dataset. -
Region-based Fully Convolutional Networks
Region-based Fully Convolutional Networks for object detection -
End-to-End Semi-Supervised Object Detection with Soft Teacher
The proposed end-to-end pseudo-label based semi-supervised object detection framework, which simultaneously performs pseudo-labeling for unlabelled images and trains a detector... -
VisDrone2019
The VisDrone2019 dataset contains 10,209 high-resolution images with ten categories: pedestrian, people, bicycle, car, van, truck, tricycle, awning-tricycle, bus, and motor. -
You Only Look Clusters (YOLC)
Detecting objects from aerial images poses significant challenges due to the following factors: 1) Aerial images typically have very large sizes, generally with millions or even... -
Foggy Cityscapes
The Foggy Cityscapes dataset is an extension to the Cityscapes dataset, containing 5k diverse real-world urban driving scenes with fog. -
ImageNet classification
ImageNet classification dataset, COCO dataset
