:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Son, Byunggwan, Oh, Youngmin, Baek, Donghyeon, Ham, Bumsub
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2407.08113
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
by: Lee, Hyunju, et al.
Published: (2025)

Relational Feature Caching for Accelerating Diffusion Transformers
by: Son, Byunggwan, et al.
Published: (2026)

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
by: Jeon, Jeimin, et al.
Published: (2025)

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
by: Oh, Youngmin, et al.
Published: (2024)

AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
by: Lee, Seunghoon, et al.
Published: (2025)

Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference
by: Cho, Hyeonwoo, et al.
Published: (2026)

AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
by: Lee, Junghyup, et al.
Published: (2024)

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
by: Jeon, Jeimin, et al.
Published: (2026)

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
by: Lee, Wonjun, et al.
Published: (2025)

Scheduling Weight Transitions for Quantization-Aware Training
by: Lee, Junghyup, et al.
Published: (2024)

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection
by: Lee, Sanghoon, et al.
Published: (2026)

3DPillars: Pillar-based two-stage 3D object detection
by: Noh, Jongyoun, et al.
Published: (2025)

Instance-Aware Group Quantization for Vision Transformers
by: Moon, Jaehyeon, et al.
Published: (2024)

Disentangled Representations for Short-Term and Long-Term Person Re-Identification
by: Eom, Chanho, et al.
Published: (2024)

A 2-Stage Model for Vehicle Class and Orientation Detection with Photo-Realistic Image Generation
by: Kim, Youngmin, et al.
Published: (2025)

Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
by: Kim, Dohyung, et al.
Published: (2024)

Jailbreaking on Text-to-Video Models via Scene Splitting Strategy
by: Lee, Wonjun, et al.
Published: (2025)

Cerberus: Attribute-based person re-identification using semantic IDs
by: Eom, Chanho, et al.
Published: (2024)

ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
by: Lee, Wonjun, et al.
Published: (2025)

Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications
by: Baek, Hankyul, et al.
Published: (2023)

Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
by: Li, Muquan, et al.
Published: (2026)

UCMNet: Uncertainty-Aware Context Memory Network for Under-Display Camera Image Restoration
by: Kim, Daehyun, et al.
Published: (2026)

GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
by: Ham, Jiyul, et al.
Published: (2024)

SlumpGuard: An AI-Powered Real-Time System for Automated Concrete Slump Prediction via Video Analysis
by: Kim, Youngmin, et al.
Published: (2025)

Distill Video Datasets into Images
by: Zhao, Zhenghao, et al.
Published: (2025)

Pixel-aligned RGB-NIR Stereo Imaging and Dataset for Robot Vision
by: Kim, Jinnyeong, et al.
Published: (2024)

Implicit Grid Convolution for Multi-Scale Image Super-Resolution
by: Lee, Dongheon, et al.
Published: (2024)

Emulating Self-attention with Convolution for Efficient Image Super-Resolution
by: Lee, Dongheon, et al.
Published: (2025)

Dataset Distillation for Histopathology Image Classification
by: Cong, Cong, et al.
Published: (2024)

Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning
by: Kim, Seonghak, et al.
Published: (2023)

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation
by: Moon, Seungjae, et al.
Published: (2026)

Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
by: Kim, Seonghak, et al.
Published: (2023)

Spectral Gradient Surgery for Domain-Generalizable Dataset Distillation
by: Oh, Minyoung, et al.
Published: (2026)

Distilling Datasets Into Less Than One Image
by: Shul, Asaf, et al.
Published: (2024)

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
by: Oh, Youngmin, et al.
Published: (2024)

LidaRefer: Context-aware Outdoor 3D Visual Grounding for Autonomous Driving
by: Baek, Yeong-Seung, et al.
Published: (2024)

Distribution-aware Dataset Distillation for Efficient Image Restoration
by: Zheng, Zhuoran, et al.
Published: (2025)

Low-Level Dataset Distillation for Medical Image Enhancement
by: Xu, Fengzhi, et al.
Published: (2025)

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
by: Yun, Seokju, et al.
Published: (2024)

MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception
by: Dodds, Laura, et al.
Published: (2025)