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Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative ad...
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,... -
Neuro-AI Interface for Evaluating Generative Adversarial Networks
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,... -
Animation Line Art Colorization Dataset
A dataset for animation line art colorization, consisting of 10 different cartoon films with diverse and intense frame variations. -
DEEVA: A Deep Learning and IoT Based Computer Vision System
A deep learning and IoT based computer vision system to process computer vision and natural language in real time in order to address the safety and security of production sites... -
SaLite: A light-weight model for salient object detection
Salient object detection is a prevalent computer vision task that has applications ranging from abnormality detection to abnormality processing. Context modelling is an... -
Defects of Convolutional Decoder Networks in Frequency Representation
The dataset used in the paper to prove the representation defects of a cascaded convolutional decoder network in frequency representation. -
HCI 4D Light Field Benchmark
A dataset and evaluation methodology for depth estimation on 4D light fields. -
Wide-Baseline Light Field Depth Estimation with EPI-Shift
A method for depth estimation from light field data, based on a fully convolutional neural network architecture. -
SqueezeJet: High-level Synthesis Accelerator
Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition... -
KITTI: A benchmark suite for computer vision tasks
KITTI: A benchmark suite for computer vision tasks. -
Texture vs Shape
This dataset is used to evaluate CNNs and human observers on images with a texture-shape cue conflict. -
One-shot Localization and Segmentation of Medical Images with Foundation Models
A variety of pre-trained ViT (DINO, DINOv2, SAM, CLIP) and SD models, trained exclusively on natural images, for solving the correspondence problems on medical images. -
Komaba Dataset
The Komaba dataset is a benchmark for LiDAR fusion. -
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective...
The proposed method applies selective stereo matching (SSM) followed by binary anisotropic diffusion tensor (B-ADT) aided smoothing. -
ImageNet, MS COCO, Cityscapes, and ADE20K
The dataset used for the experiments in the paper, which includes ImageNet, MS COCO, Cityscapes, and ADE20K datasets. -
Argoverse Dataset
The Argoverse dataset is a large dataset of real-world outdoor driving scenes. -
Deep Automatic Portrait Matting
The dataset used for training and testing the proposed LSSC system, which consists of 1530 training images and 170 test images in RGB format. -
Text-to-Image Diffusion Models
The dataset used for text-to-image diffusion models, including Bluefire, Paintings, 3D, and Origami styles.
