Computer Vision

Machine Learning Improving Multi-Label Learning with Memory Techniques

A new method tackles class imbalance in multi-label continual learning.

Yan Zhang, Guoqiang Wu, Bingzheng Wang

2025-01-26T19:53:51+00:00 ― 7 min read

Computer Vision and Pattern Recognition Revolutionizing Image Understanding with ArSyD

ArSyD breaks down images for better machine understanding and manipulation.

Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov

2025-01-26T12:40:30+00:00 ― 7 min read

Computer Vision and Pattern Recognition Revolutionizing Image Clustering with CgMCR

A new method improves how we cluster and analyze images.

W. He, Z. Huang, X. Meng

2025-01-26T00:38:15+00:00 ― 5 min read

Machine Learning The Role of Attention Mechanisms in AI

Discover how attention mechanisms enhance deep learning across various applications.

Tianyu Ruan, Shihua Zhang

2025-01-25T23:27:20+00:00 ― 5 min read

Computer Vision and Pattern Recognition Revolutionizing Image Segmentation with OMTSeg

OMTSeg advances image segmentation by combining vision and language for better object recognition.

Yi-Chia Chen, Wei-Hua Li, Chu-Song Chen

2025-01-25T23:01:57+00:00 ― 8 min read

Computer Vision and Pattern Recognition New Dataset Tackles Person Recognition in Modest Clothing

A dataset aims to improve person identification across cultures with modest attire.

Alireza Sedighi Moghaddam, Fatemeh Anvari, Mohammadjavad Mirshekari Haghighi

2025-01-25T19:49:21+00:00 ― 7 min read

Computer Vision and Pattern Recognition Memory-Efficient UNet: A Game Changer in Image Processing

Discover how UNet tackles image processing challenges while saving memory.

Lingxiao Yin, Wei Tao, Dongyue Zhao

2025-01-25T17:24:00+00:00 ― 6 min read

Computer Vision and Pattern Recognition Breaking Ground in Action Recognition with Skeleton Data

New methods enhance action recognition through skeleton data analysis.

Yuheng Yang

2025-01-25T07:47:06+00:00 ― 8 min read

Computer Vision and Pattern Recognition CLIP-GS: Merging Images, Text, and 3D Shapes

New framework enhances understanding of images, text, and 3D objects.

Siyu Jiao, Haoye Dong, Yuyang Yin

2025-01-24T04:30:00+00:00 ― 7 min read

Computer Vision and Pattern Recognition The Challenge of Viewpoint Stability in Vision Models

Investigating how viewpoint changes affect object recognition in vision models.

Mateusz Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh

2025-01-23T12:27:00+00:00 ― 8 min read

Computer Vision and Pattern Recognition Advancements in Vision-Language Tracking

A new approach improves how computers track objects using visuals and text.

X. Feng, D. Zhang, S. Hu

2025-01-22T19:35:51+00:00 ― 5 min read

Computer Vision and Pattern Recognition Mastering Fine-Grained Image Classification

Understand the challenges and tools for accurate image classification.

Duy M. Le, Bao Q. Bui, Anh Tran

2025-01-22T15:35:06+00:00 ― 6 min read

Computer Vision and Pattern Recognition Transforming Autonomous Driving with Geo-ConvGRU

A new method improves vehicle perception for safer autonomous navigation.

Guanglei Yang, Yongqiang Zhang, Wanlong Li

2025-01-21T10:41:42+00:00 ― 6 min read

Computer Vision and Pattern Recognition GSplatLoc: A Game Changer in Camera Localization

GSplatLoc offers precise real-time camera localization for various technologies.

Atticus J. Zeller

2025-01-21T01:52:03+00:00 ― 8 min read

Computer Vision and Pattern Recognition Transforming Object Detection with SimLTD

Learn how SimLTD improves detection of rare objects in images.

Phi Vu Tran

2025-01-21T00:15:45+00:00 ― 6 min read

Computer Vision and Pattern Recognition Advancements in Inverse Problems with CA-DPS

CA-DPS brings new hope for solving inverse problems in imaging.

Shayan Mohajer Hamidi, En-Hui Yang

2025-01-20T23:27:36+00:00 ― 6 min read

Computer Vision and Pattern Recognition DAVE: Transforming Autonomous Driving Research

DAVE dataset captures complex road scenarios for better AI training.

Xijun Wang, Pedro Sandoval-Segura, Chengyuan Zhang

2025-01-20T21:51:18+00:00 ― 7 min read

Computer Vision and Pattern Recognition YOLO-UniOW: The Future of Object Detection

A groundbreaking method for identifying both known and unknown objects in real-time.

Lihao Liu, Juexiao Feng, Hui Chen

2025-01-20T15:26:06+00:00 ― 6 min read

Computer Vision and Pattern Recognition The Object Hallucination Challenge in AI Models

LVLMs struggle with recognizing reality, risking serious consequences.

Ashish Seth, Dinesh Manocha, Chirag Agarwal

2025-01-20T11:25:21+00:00 ― 5 min read

Robotics Point Cloud Registration: Aligning Perspectives in Robotics

Discover how point cloud registration helps robots understand their environment.

Ziyuan Qin, Jongseok Lee, Rudolph Triebel

2025-01-20T09:49:03+00:00 ― 6 min read

Computer Vision and Pattern Recognition Revolutionizing Depth Perception: MetricDepth's New Method

MetricDepth enhances depth estimation from single images using deep metric learning.

Chunpu Liu, Guanglei Yang, Wangmeng Zuo

2025-01-19T08:56:24+00:00 ― 6 min read

Computer Vision and Pattern Recognition A New Era in Visual Question Answering

Advancements in AI enhance visual question answering capabilities.

Junxiao Xue, Quan Deng, Fei Yu

2025-01-18T05:39:18+00:00 ― 6 min read

Computer Vision and Pattern Recognition Revolutionizing Vehicle Vision with LiDAR and Cameras

A new method enhances object detection in self-driving cars using camera and LiDAR data.

Fardin Ayar, Ehsan Javanmardi, Manabu Tsukada

2025-01-18T04:03:00+00:00 ― 7 min read

Computer Vision and Pattern Recognition ReFlow6D: A New Way for Robots to Handle Transparent Objects

ReFlow6D helps robots grab and analyze transparent objects more effectively.

Hrishikesh Gupta, Stefan Thalhammer, Jean-Baptiste Weibel

2025-01-17T21:37:48+00:00 ― 7 min read

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