Object Detection


Object detection is a computer vision task in which the goal is to detect and locate objects of interest in an image or video. The task involves identifying the position and boundaries of objects in an image, and classifying the objects into different categories. It forms a crucial part of vision recognition, alongside image classification and retrieval.

Learning 3D Perception from Others' Predictions

Add code
Oct 03, 2024
Viaarxiv icon

Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions

Add code
Oct 02, 2024
Viaarxiv icon

Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection

Add code
Oct 02, 2024
Viaarxiv icon

Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices

Add code
Oct 02, 2024
Viaarxiv icon

3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection

Add code
Oct 02, 2024
Viaarxiv icon

Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps

Add code
Oct 02, 2024
Viaarxiv icon

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features

Add code
Oct 03, 2024
Viaarxiv icon

Enhancing Screen Time Identification in Children with a Multi-View Vision Language Model and Screen Time Tracker

Add code
Oct 02, 2024
Viaarxiv icon

Controlled Generation of Natural Adversarial Documents for Stealthy Retrieval Poisoning

Add code
Oct 03, 2024
Viaarxiv icon

Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking

Add code
Oct 03, 2024
Viaarxiv icon