Cover Image

Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khondaker, Arnisha, Ray, Nilanjan
Format:	Preprint
Published:	2024
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

Improving Token-based Object Detection with Video
by: Singh, Abhineet, et al.
Published: (2025)

Tokenizing Semantic Segmentation with Run Length Encoding
by: Singh, Abhineet, et al.
Published: (2026)

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
by: Lai, Jinxiang, et al.
Published: (2025)

OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts
by: Zhou, Zhen, et al.
Published: (2024)

Boosting Box-supervised Instance Segmentation with Pseudo Depth
by: Yu, Xinyi, et al.
Published: (2024)

Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
by: Rabbi, Jakaria, et al.
Published: (2026)

Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
by: Tran, Minh-Tuan, et al.
Published: (2026)

PM-VIS: High-Performance Box-Supervised Video Instance Segmentation
by: Yang, Zhangjing, et al.
Published: (2024)

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
by: Rabbi, Jakaria, et al.
Published: (2024)

BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation
by: Jeong, Uyoung, et al.
Published: (2023)

Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization
by: Matinkia, Mohammadjavad, et al.
Published: (2024)

Test-Time Hinting for Black-Box Vision-Language Models
by: Hou, Kaihua, et al.
Published: (2026)

Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models
by: He, Landi, et al.
Published: (2026)

Learning Surface Scattering Parameters From SAR Images Using Differentiable Ray Tracing
by: Wei, Jiangtao, et al.
Published: (2024)

BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
by: Lu, Jiahao, et al.
Published: (2024)

Opening the Black Box: Preliminary Insights into Affective Modeling in Multimodal Foundation Models
by: Zhang, Zhen, et al.
Published: (2026)

Box-Free Model Watermarks Are Prone to Black-Box Removal Attacks
by: An, Haonan, et al.
Published: (2024)

Allegro: Open the Black Box of Commercial-Level Video Generation Model
by: Zhou, Yuan, et al.
Published: (2024)

DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
by: Fang, Yingying, et al.
Published: (2024)

Federated Black-Box Adaptation for Semantic Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)

Retrieving Objects from 3D Scenes with Box-Guided Open-Vocabulary Instance Segmentation
by: Nguyen, Khanh, et al.
Published: (2025)

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation
by: Hu, Jian, et al.
Published: (2025)

Do Multiple Instance Learning Models Transfer?
by: Shao, Daniel, et al.
Published: (2025)

Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
by: Liu, Xinhao, et al.
Published: (2024)

IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework
by: Wang, Shaokun, et al.
Published: (2026)

Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model
by: Cuttano, Claudia, et al.
Published: (2024)

PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and Fuzz Optimization
by: Li, Mingzhe, et al.
Published: (2025)

How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)

Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning
by: Cho, Wonwoo, et al.
Published: (2024)

Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
by: Gangwar, Neeraj, et al.
Published: (2025)

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2025)

BEEP3D: Box-Supervised End-to-End Pseudo-Mask Generation for 3D Instance Segmentation
by: Yoo, Youngju, et al.
Published: (2025)

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
by: Zou, Yawen, et al.
Published: (2024)

HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration
by: Shuaibu, Aisha L., et al.
Published: (2024)

Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model
by: Zhang, Ludan, et al.
Published: (2024)

Box2Flow: Instance-based Action Flow Graphs from Videos
by: Li, Jiatong, et al.
Published: (2024)

Robust Adaptation of Foundation Models with Black-Box Visual Prompting
by: Oh, Changdae, et al.
Published: (2024)

Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)

3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data
by: Yasir, Siddiqui Muhammad, et al.
Published: (2024)

Using Multi-Instance Learning to Identify Unique Polyps in Colon Capsule Endoscopy Images
by: Sharma, Puneet, et al.
Published: (2026)