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Matching Map Recovery with an Unknown Number of Outliers
The dataset used in the paper is a set of feature-vectors from two sets of d-dimensional noisy feature-vectors. -
RL-CZSL-ATTR and RL-CZSL-ACT
Two large-scale benchmark datasets for reference-limited compositional zero-shot learning (RL-CZSL). -
Covfefe: A Computer Vision Approach For Estimating Force Exertion
The dataset used in this paper for predicting force exertion levels using computer vision and machine learning. -
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of B...
A large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations. -
HTC-DC Net
The proposed network utilizes a classification-regression paradigm with a ViT to incorporate holistic features and local features. The regression phase with hybrid regression... -
Waymo Open Motion Dataset (WOMD)
The WOMD dataset is a large-scale interactive motion forecasting dataset for autonomous driving, which includes 2 million agents and 6 motion trajectories for 8 seconds in the... -
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy
A synthetic dataset for sceneries in the passenger compartment of ten different vehicles, to analyze machine learning-based approaches for their generalization capacities and... -
Language-assisted Vision Model Debugger
Vision models with high overall accuracy often exhibit systematic errors on some important subsets of data, posing potential serious safety concerns. Diagnosing such bugs of... -
PETA (Pose Estimation and Tracking for ASIST)
A dataset for pose estimation and tracking for ASIST system -
CARLA simulator datasets for pedestrian detection
Three datasets: training, calibration, and evaluation datasets for pedestrian detection task. -
KITTI Benchmark
A benchmark for stereo matching and depth estimation. -
TinyImageNet
The dataset used for the experiments of the paper "CORE-PERIPHERY PRINCIPLE GUIDED REDISIGN OF SELF-ATTENTION IN TRANSFORMERS" -
TinyImagenet dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used TinyImagenet dataset for pre-training the embedding functions. -
CIFAR-10, CIFAR-100, and STL-10 datasets
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, and STL-10 datasets for training and testing the... -
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using Stru...
Aerial IR videos of photovoltaic plants for automatic extraction and georeferencing of PV modules -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
DINOv2: Learning robust visual features without supervision
The authors propose a method for self-supervised representation learning using knowledge distillation and vision transformers. -
Diffusion Classifier
The authors propose a method for zero-shot classification that leverages conditional density estimates from text-to-image diffusion models. -
Diffusion Models Beat GANs on Image Synthesis
Diffusion models have recently emerged as the state-of-the-art of generative modeling, demonstrating remarkable results in image synthesis and across other modalities.