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Bibliographic Details
Main Authors:	Liang, Mingliang, Larson, Martha
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2412.16148
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Centered Masking for Language-Image Pre-Training
by: Liang, Mingliang, et al.
Published: (2024)

Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training
by: Liang, Mingliang, et al.
Published: (2026)

OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
by: Han, Zihao, et al.
Published: (2025)

Efficient Vision-Language Pre-training by Cluster Masking
by: Wei, Zihao, et al.
Published: (2024)

SeTformer is What You Need for Vision and Language
by: Shamsolmoali, Pourya, et al.
Published: (2024)

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training
by: Liu, Haowei, et al.
Published: (2024)

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training
by: Zhu, Lei, et al.
Published: (2025)

Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
by: Monsefi, Amin Karimi, et al.
Published: (2024)

Masked Generative Transformer Is What You Need for Image Editing
by: Chow, Wei, et al.
Published: (2026)

Text is All You Need for Vision-Language Model Jailbreaking
by: Chen, Yihang, et al.
Published: (2026)

Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
by: Li, Wenyu, et al.
Published: (2025)

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey
by: Qi, Yayun, et al.
Published: (2024)

Revealing the Impact of Visual Text Style on Attribute-based Descriptions Produced by Large Visual Language Models
by: Wang, Xiaomeng, et al.
Published: (2026)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
by: Liu, Jiarun, et al.
Published: (2024)

Multi-View Representation is What You Need for Point-Cloud Pre-Training
by: Yan, Siming, et al.
Published: (2023)

Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?
by: Che, Chengan, et al.
Published: (2026)

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
by: Chen, Junyi, et al.
Published: (2023)

Dataset Ownership Verification for Pre-trained Masked Models
by: Xie, Yuechen, et al.
Published: (2025)

Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting
by: Colombo, Antonio, et al.
Published: (2026)

Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
by: Yu, Lu, et al.
Published: (2024)

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
by: Hua, Hang, et al.
Published: (2024)

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
by: Ding, Yuhe, et al.
Published: (2024)

TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models
by: Fhima, Jonathan, et al.
Published: (2024)

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
by: Li, Lin, et al.
Published: (2024)

Smart Feature is What You Need
by: Hu, Zhaoxin, et al.
Published: (2024)

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
by: Zhao, Shuai, et al.
Published: (2023)

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models
by: Song, Junha, et al.
Published: (2026)

Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models
by: Zheng, Haonan, et al.
Published: (2024)

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations
by: Vice, Jordan, et al.
Published: (2025)

Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model
by: Ma, Shuailei, et al.
Published: (2023)

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Ye, Wei, et al.
Published: (2024)

Enhancing Vision-Language Pre-training with Rich Supervisions
by: Gao, Yuan, et al.
Published: (2024)

When Does Pruning Benefit Vision Representations?
by: Cassano, Enrico, et al.
Published: (2025)

MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation
by: Kawano, Yasufumi, et al.
Published: (2024)

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images
by: Liu, Che, et al.
Published: (2023)

Continual Forgetting for Pre-trained Vision Models
by: Zhao, Hongbo, et al.
Published: (2024)

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
by: Magid, Salma Abdel, et al.
Published: (2024)

Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models
by: Xu, Longwei, et al.
Published: (2026)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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