320 datasets found

Binary neural networks have attracted numerous attention in recent years. However, mainly due to the information loss stemming from the biased binarization, how to preserve the...

The KITTI benchmark dataset is used to evaluate the performance of the proposed method. The dataset contains large-scale outdoor sequences of images captured by a forward-facing...

Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation

The dataset used in the paper is MegaDepth and NYU datasets for training and testing the proposed method.

The Synthia 4D dataset is a synthetic dataset for 4D semantic segmentation.

The dataset used in the paper is the Kaolin-Wisp dataset, which is a benchmark for neural fields research.

The Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth.

The VIMER-UFO benchmark dataset consists of 8 computer vision tasks: CPLFW, Market1501, DukeMTMC, MSMT-17, Veri-776, VehicleId, VeriWild, and SOP.

The VOT2015/VOT2017 datasets are used for visual tracking evaluation.

The OTB-2013/OTB-2015 datasets are used for visual tracking evaluation.

Visual tracking is one of the most fundamental topics in computer vision. It has great demands in many public occasions such as surveillance system, self-driving cars, etc.

A synthetic fisheye dataset based on the ImageNet-1K, constructed to explore the performance of Transformer models on fisheye images.

The dataset used for training and testing the proposed deep co-training method for semi-supervised image segmentation.

The dataset used for training and testing the proposed method.

The DenseNet dataset is a dataset for image recognition on handwritten digits composed of 60,000 training data and 10,000 test images.

The dataset used in this paper is the ResNet-50 dataset.

Learning compact representations for LiDAR completion and generation.

Occupancy prediction plays a pivotal role in au-

Graph matching (GM) constitutes a pervasive problem in computer vision and pattern recognition, with applications in image registration, recognition, stereo, 3D shape matching,...

A dataset for visual odometry, containing 11 sequences with provided ground-truth poses.