Computer Vision - Groups

Nuscenes

Nuscenes is a large-scale autonomous driving dataset that provides high-resolution BEV semantic occupancy labels for roads and vehicles.

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JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in...

Depth estimation, visual odometry, and bird’s-eye-view scene layout estimation present three critical tasks for driving scene perception, which is fundamental for motion...

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Text-to-Image Synthesis

The dataset used in the paper is a text-to-image synthesis dataset.

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JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields

The dataset used in the paper for cinematic motion transfer, consisting of NeRF representations of 3D scenes and reference video clips.

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Real-world dataset for SCINeRF

This dataset is used to validate the effectiveness of the SCINeRF method for recovering 3D scenes from a single snapshot compressed image.

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Synthetic datasets for SCINeRF

This dataset is used to validate the effectiveness of the SCINeRF method for recovering 3D scenes from a single snapshot compressed image.

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CLIP-PAE

CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable and Controllable Text-Guided Face Manipulation

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Celeba

The dataset used in this paper is a collection of images, and the authors used it to train and evaluate Variational Autoencoders (VAEs).

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Robustness of SAM: Segment Anything under corruptions and beyond

This work investigates the robustness of SAM to corruptions and adversarial attacks.

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Segment Anything Model (SAM)

SAM is a foundation model in computer vision that can segment anything.

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Black-box Targeted Adversarial Attack on Segment Anything (SAM)

This work conducts the first yet comprehensive study on TAA on SAM in a black-box setup, assuming no access to prompt and model.

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NeRFs for Autonomous Driving

Neural Radiance Fields (NeRFs) have emerged as promising tools for advancing autonomous driving (AD) research, offering scalable closed-loop simulation and data augmentation...

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Deeply Supervised Salient Object Detection

The dataset used for salient object detection, including 5 widely tested benchmarks.

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Sparse-MLP

Mixture-of-Experts (MoE) architecture, conditional computing, cross-token modeling, Sparse-MLP model

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Shapenet: An Information-Rich 3D Model Repository

A large-scale 3D model repository containing over 16,000 3D models.

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GameCLR Dataset

The GameCLR dataset is a custom dataset created for testing the GameCLR technique for learning game state representations.

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Crowd Counting Datasets

The dataset used in the paper for crowd counting, which includes five challenging benchmarks: ShanghaiTech Part A & Part B (SHHA & SHHB), UCF-QNRF (QNRF), JHU-Crowd++...

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LesaNet

The LesaNet dataset is a multilabel CNN designed for universal lesion tagging.

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ScanNet++

Neural Radiance Fields (NeRFs) model a 3D scene as a volumetric function, which can be rendered from arbitrary viewpoints to generate highly-realistic images.

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KITTI Raw

Novel view synthesis is a long-standing problem that revolves around rendering frames of scenes from novel camera viewpoints.

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1,082 datasets found