-
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. -
Diffusion Models and Representation Learning: A Survey
Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised... -
Moving MNIST dataset
The Moving MNIST dataset consists of videos of MNIST digits. -
Position Embedding Needs an Independent Layer Normalization
The dataset used in the paper is not explicitly described, but it is mentioned that the authors analyzed the input and output of each encoder layer in Vision Transformers (VTs)... -
ImageNet-Compatible and CIFAR-10 datasets
The authors used the ImageNet-Compatible and CIFAR-10 datasets for targeted attack experiments. -
Spherical-MNIST, atomic energy, Shrec17, diffusion MRI
The dataset used in this paper for classification tasks on spherical-MNIST, atomic energy, Shrec17 data sets, and group testing on diffusion MRI data. -
Convolutional Neural Networks with Approximate Multiplication
The dataset used in this paper for convolutional neural networks (CNNs) with approximate multiplication. -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs... -
VAEs in the Presence of Missing Data
Real world datasets often contain entries with missing elements e.g. in a medical dataset, a patient is unlikely to have taken all possible diagnostic tests.
