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Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Repr...
The dataset used in this paper for moving object detection. -
Microsoft COCO 2014 and 2017
Microsoft COCO 2014 and 2017 datasets for object detection, segmentation, and captioning -
Microsoft Common Objects in Context (MS COCO)
A well-known dataset for object detection and image segmentation -
Pascal VOC Challenge
The Pascal VOC Challenge dataset is a benchmark for object detection and image segmentation. -
MIT-Adobe FiveK
The MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection. -
Foggy Cityscapes
The Foggy Cityscapes dataset is an extension to the Cityscapes dataset, containing 5k diverse real-world urban driving scenes with fog. -
Internal Dataset
The internal dataset contains 6 million real-world driving scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and the campus of the Stanford Linear Accelerator... -
Pascal VOC, Pascal Context, COCO-Object, Cityscapes, and ADE20k datasets
The Pascal VOC, Pascal Context, COCO-Object, Cityscapes, and ADE20k datasets are used for evaluation of the proposed method. -
EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM
EdgeSAM is an accelerated variant of the Segment Anything Model (SAM) optimized for efficient execution on edge devices with minimal compromise in performance. -
Fully Convolutional Networks for Automatically Generating Image Masks to Trai...
The proposed method for automatically generating image masks to train Mask R-CNN for object detection. -
Microsoft COCO Dataset
The MS COCO 2014 Dataset contains images of 91 object categories, which contains 82783 training images, 40504 validation images and 40775 testing images. -
COCO panoptic validation set
Panoptic segmentation aims to unify instance and semantic segmentation in the same framework. Existing works propose to merge instance and semantic segmentation using... -
COCO panoptic segmentation
Panoptic segmentation aims to unify instance and semantic segmentation in the same framework. Existing works propose to merge instance and semantic segmentation using... -
CamVid Dataset
CamVid dataset is a benchmark dataset for semantic segmentation. It consists of 700 images with 11 object classes. -
Pascal VOC 2012
The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and... -
COCO Stuff
COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks. -
Microsoft Common Objects in Context (COCO) dataset
The Microsoft Common Objects in Context (COCO) dataset is a benchmark for object detection, segmentation, and image classification. -
MS COCO dataset
The MS COCO dataset is a large benchmark for image captioning, containing 328K images with 5 caption descriptions each. -
COCO+LVIS dataset
The COCO+LVIS dataset contains millions of high-quality labels for natural images.
