Cover Image

Is CLIP ideal? No. Can we fix it? Yes!

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Raphi, Song, Yue, Gkioxari, Georgia, Perona, Pietro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models
by: Kang, Raphi, et al.
Published: (2026)

Unsupervised Representation Learning from Sparse Transformation Analysis
by: Song, Yue, et al.
Published: (2024)

Single View Seafloor Recovery from Imaging Sonar via Differentiable Rendering
by: Brodjian, Sevan, et al.
Published: (2026)

Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
by: Fogliato, Riccardo, et al.
Published: (2023)

CLIP Can Understand Depth
by: Kim, Sohee, et al.
Published: (2024)

Kuramoto Orientation Diffusion Models
by: Song, Yue, et al.
Published: (2025)

What do we learn from inverting CLIP models?
by: Kazemi, Hamid, et al.
Published: (2024)

Find Any Part in 3D
by: Ma, Ziqi, et al.
Published: (2024)

Conversational Image Segmentation: Grounding Abstract Concepts with Scalable Supervision
by: Sahoo, Aadarsh, et al.
Published: (2026)

Representational Difference Explanations
by: Kondapaneni, Neehar, et al.
Published: (2025)

No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
by: Marsili, Damiano, et al.
Published: (2025)

Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
by: Croce, Francesco, et al.
Published: (2025)

Visual Agentic AI for Spatial Reasoning with a Dynamic API
by: Marsili, Damiano, et al.
Published: (2025)

Aligning Text, Images, and 3D Structure Token-by-Token
by: Sahoo, Aadarsh, et al.
Published: (2025)

Is This Tracker On? A Benchmark Protocol for Dynamic Tracking
by: Demler, Ilona, et al.
Published: (2025)

Out of Sight, Out of Mind? Evaluating State Evolution in Video World Models
by: Ma, Ziqi, et al.
Published: (2026)

Social Perception of Faces in a Vision-Language Model
by: Hausladen, Carina I., et al.
Published: (2024)

DeCLIP: Decoding CLIP representations for deepfake localization
by: Smeu, Stefan, et al.
Published: (2024)

IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
by: Magistri, Simone, et al.
Published: (2026)

Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
by: Menghini, Cristina, et al.
Published: (2023)

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
by: Wei, Xiyuan, et al.
Published: (2025)

FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
by: Dehdashtian, Sepehr, et al.
Published: (2024)

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
by: Wei, Xiyuan, et al.
Published: (2024)

Feedforward 3D Editing via Text-Steerable Image-to-3D
by: Ma, Ziqi, et al.
Published: (2025)

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling
by: Wang, Xinze, et al.
Published: (2025)

Breaking the Limits of Open-Weight CLIP: An Optimization Framework for Self-supervised Fine-tuning of CLIP
by: Mehta, Anant, et al.
Published: (2026)

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
by: Nicolas, Julien, et al.
Published: (2023)

Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment
by: Lv, Song-Lin, et al.
Published: (2025)

TiC-CLIP: Continual Training of CLIP Models
by: Garg, Saurabh, et al.
Published: (2023)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
by: Frascaroli, Emanuele, et al.
Published: (2024)

Online Zero-Shot Classification with CLIP
by: Qian, Qi, et al.
Published: (2024)

Finetuning CLIP to Reason about Pairwise Differences
by: Sam, Dylan, et al.
Published: (2024)

Extract Free Dense Misalignment from CLIP
by: Nam, JeongYeon, et al.
Published: (2024)

Detecting AI-Generated Images via CLIP
by: Moskowitz, A. G., et al.
Published: (2024)

Reconstructing Hand-Held Objects in 3D from Images and Videos
by: Wu, Jane, et al.
Published: (2024)

Align and Distill: Unifying and Improving Domain Adaptive Object Detection
by: Kay, Justin, et al.
Published: (2024)

Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
by: Peleg, Amit, et al.
Published: (2025)

DiffCLIP: Differential Attention Meets CLIP
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)

HyperCLIP: Adapting Vision-Language models with Hypernetworks
by: Akinwande, Victor, et al.
Published: (2024)

EZ-CLIP: Efficient Zeroshot Video Action Recognition
by: Ahmad, Shahzad, et al.
Published: (2023)