-
ENet: A Deep Neural Network Architecture for Real-time Semantic Segmentation
A dataset for real-time semantic segmentation. -
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transfo...
Semantic segmentation is a fundamental task in computer vision and enables many downstream applications. It is related to image classification since it produces per-pixel... -
CIFAR-100 and ImageNet-1k
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-100 and ImageNet-1k datasets for image classification and semantic... -
PASCAL Visual Object Classes Challenge
The PASCAL Visual Object Classes Challenge (VOC) is a benchmark dataset for object detection and semantic segmentation. -
COCO object detection and instance segmentation, ADE20K semantic segmentation
The dataset used in the paper is the COCO object detection and instance segmentation dataset, and the ADE20K semantic segmentation dataset. -
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Seg...
Weakly-supervised semantic segmentation using plain Vision Transformer (ViT) for Weakly-supervised Semantic Segmentation (WSSS). -
NYUv2 dataset
The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes. -
Semantic Object Classes in Video
A dataset for semantic object classes in video. -
ScanNet-v2
Learning from bounding-boxes annotations has shown great potential in weakly-supervised 3D point cloud instance segmentation. However, we observed that existing methods would... -
PASCAL Context
The PASCAL Context dataset is a benchmark for multi-task learning in computer vision. It contains 10103 images with 5 tasks: semantic segmentation, human body part segmentation,... -
PASCAL VOC 2007
Multi-label image recognition is a practical and challenging task compared to single-label image classification. -
ScanNet Dataset
The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images. -
SemanticPOSS
A point cloud dataset with large quantity of dynamic instances, consisting of 2,988 real-world scans with point-level annotations. -
Pascal VOC
Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...
