Browse research papers in Computer Vision and Pattern Recognition - Computer Science Discover 12 academic papers with AI-powered analysis - Paperzilla

PAPERZILLA

Crunching Academic Papers into Bite-sized Insights.

About

Sign Out

← Back

/

Computer Science

/

Computer Vision and Pattern Recognition

Computer Vision and Pattern Recognition

The automatic extraction and interpretation of information from images and video, including object detection, facial recognition, medical imaging analysis, autonomous vehicles, and visual understanding systems

12 papers in this specialization

Papers

Streaming 4D Visual Geometry Transformer

This paper introduces StreamVGGT, a causal transformer model that reconstructs 4D spatial-temporal geometry from video in real-time. By caching historical tokens and using causal attention, it processes video frames incrementally, offering faster inference than traditional methods while maintaining competitive accuracy thanks to knowledge distillation from a more computationally expensive teacher model.

2507.11539v1.pdf

Jul 17, 06:58 AM

Segment Anything

This paper introduces the Segment Anything Model (SAM), a promptable segmentation model capable of generating masks from various input prompts like points, boxes, and text. SAM is trained on SA-1B, a massive dataset containing over 1 billion masks, enabling impressive zero-shot transfer capabilities to a diverse range of segmentation tasks. The authors demonstrate SAM's effectiveness through experiments on edge detection, object proposal generation, instance segmentation, and text-to-mask prediction.

2304.02643v1.pdf

Jul 15, 08:05 AM

Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

The Action Transformer (AcT), a purely self-attentional model, excels at recognizing short-time human actions from 2D pose data. Outperforming previous methods on a new dataset, MPOSE2021, AcT also shows promise for low-latency, real-time applications due to its efficient design.

Jul 14, 05:21 PM

Fine-Grained Image Analysis with Deep Learning: A Survey

The survey examines deep learning advancements in fine-grained image analysis (FGIA), arguing for a broader definition encompassing recognition and retrieval. It presents a taxonomy of techniques, evaluates performance on benchmarks, and outlines future research directions, including precise definition, new datasets, 3D application, robust representations, and interpretability.

Fine_Grained_Image.pdf

Jul 14, 05:20 PM

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

This paper introduces DOTA, a massive dataset for object detection in aerial images, featuring 1.8 million object instances across 18 categories with oriented bounding box annotations. Using this dataset, they benchmark 10 state-of-the-art object detection algorithms across 70+ configurations, providing a valuable resource for researchers in the field and demonstrating the unique challenges of aerial object detection.

Jul 14, 05:20 PM

Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment

This paper compares YOLOv3 and Faster R-CNN for real-time face mask detection. Faster R-CNN had slightly better accuracy, while YOLOv3 significantly outperformed in speed, suggesting YOLOv3 is preferable for real-time applications like surveillance.

s11042-021-10711-8.pdf

Jul 14, 05:20 PM

Computer Vision and Pattern Recognition 2020

This editorial summarizes the top four papers from the 42nd German Conference on Pattern Recognition (DAGM GCPR 2020), covering camera calibration, OCT segmentation, video representation learning, and the interpretability of deep neural networks. These papers offer insights into the current state and future directions of computer vision research.

s11263-021-01522-3.pdf

Jul 14, 05:20 PM

Masked Autoencoders Are Scalable Vision Learners

This paper introduces Masked Autoencoders (MAE), a self-supervised learning approach for computer vision. By masking large portions of an image and training a model to reconstruct the missing parts, MAE learns highly effective visual representations that achieve state-of-the-art results on ImageNet and improve transfer learning performance on various downstream tasks.

Jul 14, 05:20 PM

High-Resolution Image Synthesis with Latent Diffusion Models

This paper introduces Latent Diffusion Models (LDMs), a new approach to image synthesis that reduces the computational demands of traditional diffusion models while maintaining high-quality results. By operating in the latent space of a pre-trained autoencoder, LDMs achieve faster training and sampling while also enabling flexible conditioning on various inputs like text or bounding boxes.

Jul 14, 05:20 PM

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

This paper proposes a novel vision Transformer architecture called Swin Transformer which utilizes a shifted window approach for computing self-attention, resulting in linear computational complexity. Experiments on ImageNet, COCO, and ADE20K datasets demonstrate state-of-the-art performance across image classification, object detection, and semantic segmentation tasks.

Jul 14, 05:20 PM

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv7 introduces architectural improvements and training optimizations, called "trainable bag-of-freebies," to boost the speed and accuracy of real-time object detection. The different versions of YOLOv7 achieve state-of-the-art results on the COCO dataset across a range of FPS.

Jul 14, 05:20 PM

Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation

This paper applies Brodu and Lague's morphological segmentation algorithm (CANUPO) to classify architectural components from terrestrial laser scanning data of a historical palace façade. The algorithm performed well on large complex shapes but struggled with smaller details, suggesting its applicability for general façade analysis but limitations for fine-grained modeling.

Manuscrip_Prepint_merged.pdf

Jul 14, 05:09 PM

© 2025 Paperzilla. All rights reserved.