CVPR 2026 Past Computer vision
How Do Vision Models Work at CVPR 2026 (All Tracks)
HOW 2026
- Submission deadline
- Mar 8, 2026, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (12)
Fetched from OpenReview (v2) on 2026-06-10.
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A Case Study on Hidden Bias in Vision-Language Model Activations
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A Mechanistic Analysis of Adversarial Fine-tuning of Vision Transformers
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Differences in Detection: Explainability Where it Matters
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Faithful Attribution in Vision Transformers via Feature-Gradient Gating
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Feature Alignment for Scalable B-cosification of Foundational Vision Transformers
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I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers
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LogitDynamics: Reliable ViT Error Detection from Layerwise Logit Trajectories
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MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization
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Simple Localized Counterfactuals for Visual Explanation
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Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
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Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis
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Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations