Copertina

Visual Accommodation: Rethinking Image Scale as a Learnable Variable for Object Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Seo, Daeun, Yang, Hoeseok, Park, Sihyeong, Kim, Hyungshin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors
di: Seo, Daeun, et al.
Pubblicazione: (2023)

Mixed Non-linear Quantization for Vision Transformers
di: Kim, Gihwan, et al.
Pubblicazione: (2024)

Simplifying Two-Stage Detectors for On-Device Inference in Remote Sensing
di: Kang, Jaemin, et al.
Pubblicazione: (2024)

IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
di: Kim, Gihwan, et al.
Pubblicazione: (2025)

Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection
di: Lee, Yujin, et al.
Pubblicazione: (2024)

Visual Words Meet BM25: Sparse Auto-Encoder Visual Word Scoring for Image Retrieval
di: Han, Donghoon, et al.
Pubblicazione: (2026)

Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
di: Lee, Jemin, et al.
Pubblicazione: (2023)

Scale-Aware Relay and Scale-Adaptive Loss for Tiny Object Detection in Aerial Images
di: Li, Jinfu, et al.
Pubblicazione: (2025)

Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
di: Kim, Subin, et al.
Pubblicazione: (2025)

VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation
di: Nam, Ju-Hyeon, et al.
Pubblicazione: (2024)

BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers
di: Seo, Jungwook, et al.
Pubblicazione: (2026)

Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
di: Park, Joonhyung, et al.
Pubblicazione: (2025)

Object Aware Egocentric Online Action Detection
di: An, Joungbin, et al.
Pubblicazione: (2024)

VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
di: Lee, Daeun, et al.
Pubblicazione: (2026)

StableSketcher: Enhancing Diffusion Model for Pixel-based Sketch Generation via Visual Question Answering Feedback
di: Park, Jiho, et al.
Pubblicazione: (2025)

Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM
di: Park, Hyobin, et al.
Pubblicazione: (2026)

Investigating Long-term Training for Remote Sensing Object Detection
di: Park, JongHyun, et al.
Pubblicazione: (2024)

ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
di: Lee, Woojin, et al.
Pubblicazione: (2025)

Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
di: Askari, Fatemeh, et al.
Pubblicazione: (2024)

Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability
di: Park, Young-Jin, et al.
Pubblicazione: (2024)

LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
di: Kwon, Yejin, et al.
Pubblicazione: (2025)

LEAP:D -- A Novel Prompt-based Approach for Domain-Generalized Aerial Object Detection
di: Park, Chanyeong, et al.
Pubblicazione: (2024)

Rethinking Visual Information Processing in Multimodal LLMs
di: Kim, Dongwan, et al.
Pubblicazione: (2025)

SFUOD: Source-Free Unknown Object Detection
di: Park, Keon-Hee, et al.
Pubblicazione: (2025)

Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
di: Kyung, Daeun, et al.
Pubblicazione: (2024)

Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
di: Kim, Dong-Hee, et al.
Pubblicazione: (2026)

Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods
di: Kim, Dongeon, et al.
Pubblicazione: (2024)

Implicit Deformable Medical Image Registration with Learnable Kernels
di: Fogarollo, Stefano, et al.
Pubblicazione: (2025)

Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection
di: Park, Konyul, et al.
Pubblicazione: (2024)

Talk in Pieces, See in Whole: Disentangling and Hierarchical Aggregating Representations for Language-based Object Detection
di: An, Sojung, et al.
Pubblicazione: (2025)

Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
di: Jung, Min Jae, et al.
Pubblicazione: (2023)

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
di: Park, Junsung, et al.
Pubblicazione: (2024)

CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs
di: Kim, Jiwan, et al.
Pubblicazione: (2025)

Hands-on Evaluation of Visual Transformers for Object Recognition and Detection
di: Vlachogiannis, Dimitrios N., et al.
Pubblicazione: (2025)

Efficient Learnable Collaborative Attention for Single Image Super-Resolution
di: Zheng, Yigang Zhao Chaowei, et al.
Pubblicazione: (2024)

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
di: Lee, Daeun, et al.
Pubblicazione: (2024)

Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation
di: Luo, Yuanhao, et al.
Pubblicazione: (2026)

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
di: Chi, Donghwan, et al.
Pubblicazione: (2025)

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
di: Yu, Yi, et al.
Pubblicazione: (2025)

An Efficient Aerial Image Detection with Variable Receptive Fields
di: Wenbin, Liu
Pubblicazione: (2025)