Cover Image

G$^{2}$D: Boosting Multimodal Learning with Gradient-Guided Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rakib, Mohammed, Bagavathi, Arunkumar
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MIS-ME: A Multi-modal Framework for Soil Moisture Estimation
by: Rakib, Mohammed, et al.
Published: (2024)

Boosting Multimodal Learning via Disentangled Gradient Learning
by: Wei, Shicai, et al.
Published: (2025)

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures
by: Zhou, Mingyuan, et al.
Published: (2024)

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
by: Dong, Linwei, et al.
Published: (2026)

Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
by: Rafiuddin, S M, et al.
Published: (2024)

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
by: Rafiuddin, S M, et al.
Published: (2025)

Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis
by: Choi, Junhyeok, et al.
Published: (2026)

MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
by: Hu, Zhaofeng, et al.
Published: (2024)

COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
by: Hossain, Md. Ismail, et al.
Published: (2022)

G3R: Gradient Guided Generalizable Reconstruction
by: Chen, Yun, et al.
Published: (2024)

Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers
by: Zou, Longkun, et al.
Published: (2024)

Physical Rule-Guided Convolutional Neural Network
by: Gupta, Kishor Datta, et al.
Published: (2024)

One-stage Modality Distillation for Incomplete Multimodal Learning
by: Wei, Shicai, et al.
Published: (2023)

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
by: Yan, Jiazhen, et al.
Published: (2025)

Dynamic Distillation and Gradient Consistency for Robust Long-Tailed Incremental Learning
by: Sakai, Taigo, et al.
Published: (2026)

G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024)

Indirect Gradient Matching for Adversarial Robust Distillation
by: Lee, Hongsin, et al.
Published: (2023)

G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models
by: Li, Junxian, et al.
Published: (2026)

Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
by: Michele, Björn, et al.
Published: (2025)

Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling
by: Kwak, Min-Seop, et al.
Published: (2024)

Probability-Flow Distillation: Exact Wasserstein Gradient Flow for High-Fidelity 3D Generation
by: Ramanan, Rohith, et al.
Published: (2026)

Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
by: Jakab, Tomas, et al.
Published: (2023)

Gradient-Guided Learning Network for Infrared Small Target Detection
by: Zhao, Jinmiao, et al.
Published: (2025)

TALON: Token-Aligned Lightweight Adapters for 6-DoF Spacecraft Pose Estimation
by: Ali, Abid, et al.
Published: (2026)

Learnability-Guided Diffusion for Dataset Distillation
by: Chan-Santiago, Jeffrey A., et al.
Published: (2026)

D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
by: Zheng, Wenjie, et al.
Published: (2026)

Efficient Multimodal 3D Object Detector via Instance-Level Contrastive Distillation
by: Su, Zhuoqun, et al.
Published: (2025)

Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation
by: Wang, Pengfei, et al.
Published: (2024)

Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization
by: Gao, Yanting, et al.
Published: (2025)

Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization
by: Gong, Yunpeng, et al.
Published: (2024)

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
by: Zhu, Beier, et al.
Published: (2025)

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition
by: Li, Yong, et al.
Published: (2026)

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
by: Chen, Junkai, et al.
Published: (2026)

RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
by: Bang, Geonho, et al.
Published: (2024)

A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
by: Dahri, Tarique, et al.
Published: (2025)

A-QCF-Net: An Adaptive Quaternion Cross-Fusion Network for Multimodal Liver Tumor Segmentation from Unpaired Datasets
by: V, Arunkumar, et al.
Published: (2025)

Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM
by: Kang, Jingxuan, et al.
Published: (2026)

GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision
by: Li, Zehao, et al.
Published: (2024)

GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
by: Tong, Shaowen, et al.
Published: (2025)

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data
by: Kannan, Arunkumar, et al.
Published: (2025)