Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision | Paper Citation Record

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LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs cites this paper.

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 3

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Florence: A New Foundation Model for Computer Vision cites this paper.

Florence: A New Foundation Model for Computer Vision Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 11

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Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 51

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DetailCLIP: Injecting Image Details into CLIP's Feature Space cites this paper.

DetailCLIP: Injecting Image Details into CLIP's Feature Space Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 9

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LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 28

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Editing Models with Task Arithmetic cites this paper.

Editing Models with Task Arithmetic Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 42

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BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models cites this paper.

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 7

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OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models cites this paper.

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 10

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MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost cites this paper.

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 14

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Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension cites this paper.

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 20

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RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation cites this paper.

RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 22

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Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering cites this paper.

Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 15

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Does VLM Classification Benefit from LLM Description Semantics? cites this paper.

Does VLM Classification Benefit from LLM Description Semantics? Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 17

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Visualizing the Invisible: A Generative AR System for Intuitive Multi-Modal Sensor Data Presentation cites this paper.

Visualizing the Invisible: A Generative AR System for Intuitive Multi-Modal Sensor Data Presentation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 2021

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A Decade of Deep Learning: A Survey on The Magnificent Seven cites this paper.

A Decade of Deep Learning: A Survey on The Magnificent Seven Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 21

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ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning cites this paper.

ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 15

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Probing Visual Language Priors in VLMs cites this paper.

Probing Visual Language Priors in VLMs Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 30

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Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning cites this paper.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 9

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Mirai: A Wearable Proactive AI "Inner-Voice" for Contextual Nudging cites this paper.

Mirai: A Wearable Proactive AI "Inner-Voice" for Contextual Nudging Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 21

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Color in Visual-Language Models: CLIP deficiencies cites this paper.

Color in Visual-Language Models: CLIP deficiencies Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 5

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A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards cites this paper.

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 2021

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Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 189

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Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts cites this paper.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 21

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A Survey on Training-free Open-Vocabulary Semantic Segmentation cites this paper.

A Survey on Training-free Open-Vocabulary Semantic Segmentation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 26

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WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management cites this paper.

WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 19

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Visual Pre-Training on Unlabeled Images using Reinforcement Learning cites this paper.

Visual Pre-Training on Unlabeled Images using Reinforcement Learning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 35

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CF-VLM:CounterFactual Vision-Language Fine-tuning cites this paper.

CF-VLM:CounterFactual Vision-Language Fine-tuning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 26

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AME: Aligned Manifold Entropy for Robust Vision-Language Distillation cites this paper.

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 19

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PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training cites this paper.

PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 29

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UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion cites this paper.

UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 9

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Robust and Label-Efficient Deep Waste Detection cites this paper.

Robust and Label-Efficient Deep Waste Detection Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 18

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VLMs-in-the-Wild: Bridging the Gap Between Academic Benchmarks and Enterprise Reality cites this paper.

VLMs-in-the-Wild: Bridging the Gap Between Academic Benchmarks and Enterprise Reality Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 2

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Rate-Distortion Limits for Multimodal Retrieval: Theory, Optimal Codes, and Finite-Sample Guarantees cites this paper.

Rate-Distortion Limits for Multimodal Retrieval: Theory, Optimal Codes, and Finite-Sample Guarantees Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 23

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The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 31

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WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 16

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WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 16

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Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks cites this paper.

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 26

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DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 8

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DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 8

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Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models cites this paper.

Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 3

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Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 93

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Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 20

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Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 266

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Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models cites this paper.

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 74

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Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 140

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Observation daa1c166-07ec-40c9-b3f6-4c193ffb0d88 · inbound

Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning cites this paper.

Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 22

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Observation 2a4df5d4-58ff-4181-a3bd-baefb693cf78 · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 155

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Theia: Large-Scale Multimodal Captioning and Automated Validation of the Incidents1M Dataset for Data-Free Distillation cites this paper.

Theia: Large-Scale Multimodal Captioning and Automated Validation of the Incidents1M Dataset for Data-Free Distillation Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 1

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Same Semantics, Different Paths: Self-Improving Alignment for Vision-Text Compression cites this paper.

Same Semantics, Different Paths: Self-Improving Alignment for Vision-Text Compression Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 22

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Observation e59a47cb-8137-4931-a00c-1b059f3e6e87 · inbound

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval cites this paper.

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 20

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